JP2018077207A - Route processing program, route processing apparatus, and route processing method - Google Patents

Abstract

A route processing program, a route processing device, and a route processing method capable of providing information for calculating a more useful route for a driver are provided. A route processing program used in a route processing device includes: an acquisition unit that acquires a destination information indicating a departure point and a destination of a vehicle; the destination information acquired by the acquisition unit; and the vehicle A calculation unit that calculates the driver's route characteristics based on the driving history of the driver, and a determination unit that determines a policy in the route calculation of the vehicle based on the route characteristics calculated by the calculation unit; It is a program to make it function as. [Selection] Figure 3

Description

  The present invention relates to a route processing program, a route processing device, and a route processing method.

  Conventionally, various systems for distributing guide information and recommended information to users have been developed. As an example of such a system, for example, Japanese Unexamined Patent Application Publication No. 2011-1000018 (Patent Document 1) discloses the following recommended information distribution system. That is, a recommendation information distribution system that distributes recommendation information in an area where the user is located to a user carrying the portable terminal, wherein the portable terminal previously stores current position information of the user carrying the portable terminal. It is periodically acquired for each set period, accumulated in the position information storage device as a time-series position information history, and based on the past position information history stored in the position information storage device, An action pattern indicating an action is analyzed, the analyzed action pattern and the current position information are transmitted to a recommendation information providing server that distributes the recommendation information, and the action pattern creating module is distributed from the recommendation information providing server. Output means for outputting the recommended information and presenting it to the user. The recommended information providing server estimates a moving area where the user is likely to move based on the action pattern transmitted from the mobile terminal and the current position information, and recommend information in the current location area As the recommendation information to be delivered to the mobile terminal carried by the user by selecting at least the recommendation information to be provided to the user with respect to the estimated moving area from the recommendation information held in advance as It has a module.

JP 2011-1000018 A

Yuki Aoki, 3 others, “E-037 Development of Smartphone Application for Estimating Fatigue Level from Speech”, 12th Information Science and Technology Forum, September 2013, 2nd volume, p. 269 Shunji Mitsuyoshi and two others, “Application to Stress Using Speech Emotion Recognition Technology ST”, Journal of Japan Society for Fatigue, March 2011, Vol. 6, No. 2, 19-27

  Beyond the technique described in Patent Document 1, a technique for calculating a more useful route for the driver is required.

  The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a route processing program, a route processing device, and a route that can provide information for calculating a more useful route for the driver. It is to provide a processing method.

  (1) In order to solve the above-mentioned problems, a route processing program according to an aspect of the present invention is a route processing program used in a route processing device, and displays information about a vehicle starting point and destination. Calculated by the acquisition unit, the calculation unit that calculates the driver's route characteristics based on the purpose information acquired by the acquisition unit, and the driving history of the driver of the vehicle, and the calculation unit. And a program for functioning as a determination unit that determines a policy in the route calculation of the vehicle based on the route characteristic.

  (5) In order to solve the above-described problem, a route processing device according to an aspect of the present invention includes an acquisition unit that acquires destination information indicating a starting point and a destination of a vehicle, and the purpose acquired by the acquisition unit. Based on the information and the driving history of the driver of the vehicle, a calculation unit that calculates the driver's route characteristics, and a policy for calculating the route of the vehicle based on the route characteristics calculated by the calculation unit. A determination unit for determining.

  (6) In order to solve the above-described problem, a route processing method according to an aspect of the present invention is a route processing method in a route processing device, the step of acquiring destination information indicating a departure place and a destination of a vehicle; A step of calculating a route characteristic of the driver based on the acquired objective information and a travel history of the driver of the vehicle, and a policy in the route calculation of the vehicle is determined based on the calculated route characteristic. Including the step of.

  The present invention can be realized not only as a path processing apparatus including such a characteristic processing unit but also as a path processing system including a path processing apparatus. Further, the present invention can be realized as a semiconductor integrated circuit that realizes part or all of the path processing device.

  According to the present invention, it is possible to provide information for calculating a route that is more useful to the driver.

FIG. 1 is a diagram showing a configuration of a path processing system according to the first embodiment of the present invention. FIG. 2 is a diagram illustrating an example of route determination parameter information created by the wireless terminal device in the route processing system according to the first embodiment of the present invention. FIG. 3 is a diagram showing a configuration of the path processing device in the path processing system according to the first embodiment of the present invention. FIG. 4 is a diagram illustrating an example of a route policy used in the route processing device according to the first embodiment of the present invention. FIG. 5 is a diagram illustrating an example of an unprocessed travel history table held by the storage unit in the route processing device according to the first embodiment of the present invention. FIG. 6 is a diagram illustrating an example of a travel history table held by the storage unit in the route processing device according to the first embodiment of the present invention. FIG. 7 is a diagram illustrating an example of a driver preference table held by the storage unit in the path processing device according to the first embodiment of the present invention. FIG. 8 is a diagram showing an example of a route policy determination table held by the storage unit in the route processing device according to the first embodiment of the present invention. FIG. 9 is a diagram illustrating an example of recommended route determination parameter information determined by the determination unit in the route processing device according to the first embodiment of the present invention. FIG. 10 is a diagram illustrating an example of recommended route determination parameter information determined by the determination unit in the route processing device according to the first embodiment of the present invention. FIG. 11 is a diagram illustrating an example of each link processed by the route calculation unit in the route processing device according to the first embodiment of the present invention. FIG. 12 is a diagram illustrating an example of the operation of each device in the path processing system according to the first embodiment of the present invention. FIG. 13 is a diagram illustrating an example of the operation of each device in the path processing system according to the first embodiment of the present invention. FIG. 14 is a diagram illustrating an example of the operation of each device in the path processing system according to the first embodiment of the present invention. FIG. 15 is a diagram illustrating an example of the operation of each device in the path processing system according to the first embodiment of the present invention. FIG. 16 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention processes probe information from the vehicle. FIG. 17 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention performs a navigation information creation process. FIG. 18 is a diagram showing a configuration of a path processing system according to the second embodiment of the present invention. FIG. 19 is a diagram illustrating an example of route determination parameter information created by the wireless terminal device in the route processing system according to the second embodiment of the present invention. FIG. 20 is a diagram for explaining the outline of the language analysis processing performed in the speech content analysis server in the route processing system according to the second embodiment of the present invention. FIG. 21 is a diagram for explaining an overview of the fatigue level estimation process performed in the voice data analysis server in the route processing system according to the second embodiment of the present invention. FIG. 22 is a diagram showing the configuration of the path processing device in the path processing system according to the second embodiment of the present invention. FIG. 23 is a diagram illustrating an example of driver tendency parameter information created by the calculation unit in the path processing device according to the second embodiment of the present invention. FIG. 24 is a diagram showing an example of an utterance content gradient coefficient table held by the storage unit in the route processing device according to the second embodiment of the present invention. FIG. 25 is a diagram showing an example of an utterance content gradient coefficient table held by the storage unit in the path processing device according to the second embodiment of the present invention. FIG. 26 is a diagram showing an example of a state emotion inclination coefficient table held by the storage unit in the route processing device according to the second embodiment of the present invention. FIG. 27 is a diagram showing an example of a state emotion inclination coefficient table held by the storage unit in the route processing device according to the second embodiment of the present invention. FIG. 28 is a diagram illustrating an example of the intention reflection parameter information created by the determination unit in the route processing device according to the second embodiment of the present invention. FIG. 29 is a diagram illustrating an example of the intention reflection parameter information created by the determination unit in the route processing device according to the second embodiment of the present invention. FIG. 30 is a diagram illustrating an example of state emotion reflection parameter information created by the determination unit in the route processing device according to the second embodiment of the present invention. FIG. 31 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the second embodiment of the present invention performs a navigation information creation process.

  First, the contents of the embodiment of the present invention will be listed and described.

  (1) A route processing program according to an embodiment of the present invention is a route processing program used in a route processing device, and a computer acquires an object information indicating a starting point and a destination of a vehicle, Based on the purpose information acquired by the acquisition unit and the driving history of the driver of the vehicle, a calculation unit that calculates a route characteristic of the driver, and based on the route characteristic calculated by the calculation unit , A program for functioning as a determination unit that determines a policy in the route calculation of the vehicle.

  With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends or past unique characteristics. Thereby, for example, a route useful for the driver can be calculated by following the determined policy. Therefore, information for calculating a route that is more useful to the driver can be provided.

  (2) Preferably, the route characteristic includes at least one of a road type, a traveling environment, a preference, and a daily habit.

  With such a configuration, it is possible to more accurately reflect the driver's past intentions, past trends, or past unique characteristics on route characteristics.

  (3) Preferably, the acquisition unit calculates the destination based on the route characteristic calculated by the calculation unit.

  With such a configuration, for example, since the destination can be automatically calculated based on the driver's past route selection tendency, the burden on the driver of inputting the destination can be reduced.

  (4) Preferably, the route processing device further includes a route calculation unit that determines a recommended route, and the route calculation unit uses a weight of a size according to the content of the policy to determine a plurality of candidate routes. An evaluation value is calculated, and at least one of processing for determining the recommended route based on each calculated evaluation value and processing for determining the recommended route including a waypoint based on the route characteristics is performed.

  With such a configuration, for example, when a parameter indicating a candidate route characteristic is set corresponding to a policy, an evaluation value indicating a degree of matching between the candidate route characteristic and the policy is calculated. It is possible to determine a recommended route adapted to the past intentions, past trends, past unique characteristics, and the like. Further, for example, the recommended route including the waypoint that matches the driver's preference can be provided by the configuration that determines the recommended route including the waypoint based on the route characteristic indicating the preference or the like.

  (5) A route processing device according to an embodiment of the present invention includes an acquisition unit that acquires destination information indicating a departure point and a destination of a vehicle, the destination information acquired by the acquisition unit, and driving of the vehicle A calculation unit that calculates the driver's route characteristics based on the driver's travel history, and a determination unit that determines a policy in the vehicle route calculation based on the route characteristics calculated by the calculation unit. .

  With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends or past unique characteristics. Thereby, for example, a route useful for the driver can be calculated by following the determined policy. Therefore, information for calculating a route that is more useful to the driver can be provided.

  (6) A route processing method according to an embodiment of the present invention is a route processing method in a route processing device, the step of acquiring destination information indicating a starting point and a destination of a vehicle, and the acquired destination information, And calculating a route characteristic of the driver based on a travel history of the driver of the vehicle, and determining a policy for calculating the route of the vehicle based on the calculated route characteristic.

  With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends or past unique characteristics. Thereby, for example, a route useful for the driver can be calculated by following the determined policy. Therefore, information for calculating a route that is more useful to the driver can be provided.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals and description thereof will not be repeated. Moreover, you may combine arbitrarily at least one part of embodiment described below.

<First Embodiment>
[Configuration and basic operation]
FIG. 1 is a diagram showing a configuration of a path processing system according to the first embodiment of the present invention.

  With reference to FIG. 1, the route processing system 301 includes a route processing device 101 and a wireless terminal device 151.

  The wireless terminal device 151 is, for example, a car navigation device provided in the vehicle 1 or a smart phone carried by the driver of the vehicle 1. The vehicle 1 is, for example, a passenger car, a bus, or a truck.

  For example, the wireless terminal device 151 can acquire the position of the vehicle 1 based on radio waves from a GPS (Global Positioning System) satellite.

  For example, in a situation where the driver wants to drive the vehicle 1 from a certain departure point to the destination, when the driver wants to receive a navigation service, an operation for inputting the destination is performed on the wireless terminal device 151. Do.

  The wireless terminal device 151 acquires the destination of the vehicle 1 based on, for example, an input operation to the driver's self. In addition, the wireless terminal device 151 identifies the departure place of the vehicle 1 based on, for example, radio waves from GPS satellites.

  The wireless terminal device 151 creates destination information indicating the specified departure place and the acquired destination.

  FIG. 2 is a diagram illustrating an example of route determination parameter information created by the wireless terminal device in the route processing system according to the first embodiment of the present invention.

  With reference to FIG. 2, the wireless terminal device 151 can linguistically analyze the voice of the driver, for example, and based on the analysis result, the driver's current intention, current trend, and current uniqueness Route determination parameter information Pr1 indicating at least one of the characteristics is created.

  The route determination parameter information Pr1 includes, for example, the driver ID, “fastness priority”, “low priority”, “eco priority”, “easy to understand priority”, “ride priority”, “safety priority”, and “congestion” The priority parameter corresponding to the item of “relaxation priority” is included. Here, the driver ID is, for example, the ID of the wireless terminal device 151.

  More specifically, for example, the wireless terminal device 151 acquires the content of the voice by analyzing the driver's voice, and calculates the degree of correlation between the acquired content and each item.

  Then, the wireless terminal device 151 determines each priority parameter based on the calculated degree of correlation and so that the sum of each priority parameter becomes 10.

  Specifically, for example, when the driver inputs voice to the wireless terminal device 151 saying “I am worried about accident because I am tired”, the wireless terminal device 151 has a correlation with the content of the driver's voice. For the items such as “comfort priority” and “safety priority”, the priority parameters are determined so that the priority parameter corresponding to the item becomes large and the total becomes 10.

  The wireless terminal device 151 wirelessly transmits a navigation request including the route determination parameter information Pr1 and the purpose information to the route processing device 101.

  Further, for example, when the vehicle 1 is traveling, the wireless terminal device 151 periodically creates probe information indicating the acquired position, its own ID, and the current time, and wirelessly transmits the created probe information to the route processing device 101. To do.

  Note that when the driver drives the vehicle 1 from the departure point to the destination without receiving the navigation service, the driver does not perform an operation for inputting the destination on the wireless terminal device 151. In this case, the wireless terminal device 151 does not create a navigation request, but periodically transmits probe information to the route processing device 101.

[Configuration of path processing device]
FIG. 3 is a diagram showing a configuration of the path processing device in the path processing system according to the first embodiment of the present invention.

  With reference to FIG. 3, the route processing apparatus 101 includes an acquisition unit 31, a calculation unit 32, a route calculation unit 33, a determination unit 34, a storage unit 35, a transmission unit 36, and a history registration unit 37. Prepare.

  The storage unit 35 holds map data. The map data includes road type, road width, POI (Point Of Interest), POI attributes, links, cost information, and the like. The cost information will be described later.

  The acquisition unit 31 acquires purpose information. More specifically, when receiving a navigation request including purpose information from the wireless terminal device 151, the acquisition unit 31 outputs the received navigation request to the determination unit 34 and the history registration unit 37.

  In addition, when receiving the probe information from the wireless terminal device 151, the acquisition unit 31 outputs the received probe information to the history registration unit 37.

  FIG. 4 is a diagram illustrating an example of a route policy used in the route processing device according to the first embodiment of the present invention.

  Referring to FIG. 4, the “route policy” includes “default route”, “fastest route”, “lowest route”, “eco route”, “easy-to-understand priority route”, “ride priority route”, “ “Safety priority route” and “Congestion alleviation route” are included.

  The “content” of each “route policy” is used, for example, as a guideline for creating a proposed route calculated by the route calculation unit 33 based on “main parameters affecting route determination”.

  FIG. 5 is a diagram illustrating an example of an unprocessed travel history table held by the storage unit in the route processing device according to the first embodiment of the present invention.

  Referring to FIG. 5, in the raw travel history table Tbl1, items of “date and time”, “departure place”, “destination”, “selected route policy”, “suggested route”, and “actual traveling route” of traveling Is included for each “driver ID”.

  For example, each time a navigation request is received from the acquisition unit 31, the history registration unit 37 receives “driver ID”, “date / time”, “departure location”, “destination”, “destination” based on the navigation request and corresponding probe information. Information about the items of “selected route policy”, “suggested route”, and “actual traveling route” is registered in the raw traveling history table Tbl1.

  More specifically, the history registration unit 37 sets the driver ID, departure place, and destination included in the navigation request as items of “driver ID”, “departure place”, and “destination” in the raw travel history table Tbl1. Write in the corresponding fields.

  Further, the history registration unit 37 calculates the route and date / time on which the wireless terminal device 151 has moved based on the corresponding probe information, and the calculated route / date and time are calculated based on the “actual travel route” and the raw travel history table Tbl1. Write in the columns corresponding to the "Date" items.

  In addition, the history registration unit 37 writes the route policy determined by the determination unit 34 in a column corresponding to the item “selected route policy”.

  In addition, the history registration unit 37 writes the recommended route calculated by the route calculation unit 33 in a column corresponding to the item “proposed route”.

  For example, when the driver drives the vehicle 1 from the departure point to the destination without receiving the navigation service, the history registration unit 37 does not receive a navigation request from the acquisition unit 31 but receives probe information. In this case, the determination unit 34 does not determine the route policy. Further, the route calculation unit 33 does not calculate a proposed route.

  In such a case, based on the probe information, the history registration unit 37 uses the “driver ID”, “date and time”, “departure location”, “destination”, and “actual travel route” information for the raw travel Register in the history table Tbl1. In addition, the history registration unit 37 writes “−” in the columns corresponding to the items of “selected route policy” and “proposed route”.

  FIG. 6 is a diagram illustrating an example of a travel history table held by the storage unit in the route processing device according to the first embodiment of the present invention.

  Referring to FIG. 6, calculation unit 32 calculates the driver's route characteristics based on the purpose information acquired by acquisition unit 31 and the driving history of the driver of vehicle 1.

  Specifically, the calculation unit 32 creates a travel history table Tbl2, which is an example of route characteristics, based on, for example, the raw travel history table Tbl1 and map data held by the storage unit 35. Here, the travel history table Tbl2 includes, for example, road types, travel environments, preferences, and daily habits.

  More specifically, for example, the calculation unit 32 monitors the raw travel history table Tbl1 in the storage unit 35 and analyzes new registered information when new information is registered in the raw travel history table Tbl1. The analysis result is written in the travel history table Tbl2.

  Specifically, the calculation unit 32, for example, “driver ID”, “date / time”, “selected route policy”, “departure location”, “destination”, “suggested route”, and “actual travel” in the travel history table Tbl2 The contents of the corresponding column in the raw travel history table Tbl1 are copied to the column corresponding to the item “Route”.

  The calculation unit 32 attempts to specify one or more waypoints based on the actual travel route and the map data. This waypoint is, for example, POI. When the transit point can be identified, the calculation unit 32 writes the identified transit point in a column corresponding to an item such as “route 1”.

  When the content of the column corresponding to the “selected route policy” in the raw travel history table Tbl1 is “−”, the calculation unit 32 displays the column corresponding to the route actually traveled by the driver, that is, the “actual travel route”. Derive to which route policy the content is close and create the reason.

  Then, the calculation unit 32 writes the derived route policy in parentheses in a column corresponding to the item “selection policy”. In addition, the calculation unit 32 writes “−” and the created reason in the columns corresponding to the items “running along the proposed route” and “reason”, respectively.

  On the other hand, when the content of the column corresponding to the “selected route policy” in the raw travel history table Tbl1 is not “−”, the calculation unit 32, for example, displays each column corresponding to the “suggested route” and the “actual traveling route”. The contents are compared, and based on the comparison result, it is confirmed whether or not the driver has traveled according to the proposed route.

  When the driver travels according to the proposed route, the calculation unit 32 writes “◯” and “−” in the fields corresponding to the items “travel according to the proposed route” and “reason” in the travel history table Tbl2.

  On the other hand, when the driver does not travel according to the proposed route, the calculating unit 32 derives which route policy the route actually traveled by the driver corresponds to and creates the reason.

  Then, the calculation unit 32 writes the derived route policy in parentheses in the column corresponding to “travel along the proposed route” in the travel history table Tbl2, and also writes “x”. Further, the calculation unit 32 writes the reason created in the field corresponding to the item “reason”.

  In the travel history table Tbl2, for example, the road type and the travel environment can be recognized based on the contents of each column corresponding to the “suggested route” and “actual travel route” and the map data.

  Weather information indicating the weather at the date and time when the driver traveled may be included in the travel history table Tbl2. This makes it possible to recognize the travel environment in more detail.

  Further, for example, based on the contents of each column corresponding to “driver ID” and “date and time”, it is possible to acquire a time zone during which the driver moves on a daily basis. Thereby, it is possible to recognize a driver's daily travel route and waypoints as daily habits.

  FIG. 7 is a diagram illustrating an example of a driver preference table held by the storage unit in the path processing device according to the first embodiment of the present invention.

  Referring to FIG. 7, calculation unit 32 creates driver preference table Tbl3 indicating the preference for each driver, for example, based on travel history table Tbl2.

  More specifically, the calculation unit 32 creates the driver preference table Tbl3 by analyzing the travel history table Tbl2, for example.

  Specifically, for example, the calculation unit 32 totals the contents of each column corresponding to items such as “date and time”, “destination”, and “route” in the travel history table Tbl2 for each driver ID, and the total result Based on the above, the preference of each driver is extracted. Then, the calculation unit 32 writes the extracted preferences of each driver in the driver preference table Tbl3.

  FIG. 8 is a diagram showing an example of a route policy determination table held by the storage unit in the route processing device according to the first embodiment of the present invention.

  Referring to FIG. 8, calculation unit 32 creates a route policy determination table Tbl4 indicating the tendency of route selection for each driver, for example, based on travel history table Tbl2.

  More specifically, for example, the calculation unit 32 analyzes the travel history table Tbl2 to indicate at least one of the driver's past intentions, past trends, and past unique characteristics for each driver. A route policy determination table Tbl4 is created.

  Specifically, the calculation unit 32, for example, based on the contents of each column corresponding to the items “proposed route”, “traveling along the proposed route”, “reason”, etc. in the travel history table Tbl2 The reasons why the proposed route is rejected are counted for each driver ID, and the route selection tendency of each driver is extracted based on the counting result.

  Then, the calculation unit 32 determines the route selection tendency of each driver as “fast priority”, “low priority”, “eco priority”, “easy to understand priority”, “ride priority”, “safety priority”. It is quantified by the determination parameters corresponding to “priority” and “congestion priority”. In this quantification, for example, the calculation unit 32 determines the determination parameters so that the total of the determination parameters becomes 10. The calculating unit 32 writes the determined parameters for determination in the route policy determination table Tbl4.

  Note that the calculation unit 32 may create the route policy determination table Tbl4 for each day type, time zone, or usage scene. As a result, a proposed route that is more suitable for the driver can be derived.

  Referring to FIG. 3 again, the determination unit 34 determines a route policy in the route calculation of the vehicle 1 based on the route characteristic calculated by the calculation unit 32.

  Specifically, for example, when receiving a navigation request from the acquisition unit 31, the determination unit 34 determines a route policy based on the received navigation request and the travel history table Tbl2 in the storage unit 35.

  More specifically, the determination unit 34 acquires a driver ID (hereinafter also referred to as a target ID), route determination parameter information Pr1 and purpose information from the navigation request.

  The determination unit 34 determines whether or not to refer to the route policy determination table Tbl4 based on the acquired route determination parameter information Pr1.

  More specifically, when any one of the priority parameters included in the route determination parameter information Pr1 is 10, the determination unit 34 determines that the route policy determination table Tbl4 should not be referred to.

  Then, the determination unit 34 creates recommended route determination parameter information Pr3 having the same content as the route determination parameter information Pr1.

  On the other hand, when none of the priority parameters included in the route determination parameter information Pr1 is 10, the determination unit 34 determines that the route policy determination table Tbl4 should be referred to.

  Then, the determination unit 34 creates recommended route determination parameter information Pr3 using the route policy determination table Tbl4.

  More specifically, the determination unit 34 acquires each determination parameter of the target ID from the route policy determination table Tbl4 in the storage unit 35, for example.

  9 and 10 are diagrams illustrating examples of recommended route determination parameter information determined by the determination unit in the route processing device according to the first exemplary embodiment of the present invention.

  Referring to FIGS. 9 and 10, determination unit 34 creates recommended route determination parameter information Pr <b> 2 based on route determination parameter information Pr <b> 1 and each obtained determination parameter.

  More specifically, the determination unit 34 calculates a determination parameter by applying the determination parameter of the corresponding item as a weight to the priority parameter included in the route determination parameter information Pr1.

  Specifically, for example, the determination unit 34 multiplies the parameters of the same item in the priority parameter shown in FIG. 2 and the determination parameter corresponding to “driver ID = 1” shown in FIG. Determination parameter information Pr2 is created.

  For example, the calculation unit 32 performs standardization to convert the values of the determination parameters so that the total of the determination parameters of the recommended route determination parameter information Pr2 is 10, thereby performing recommended route determination parameter information Pr3. Create

  In addition, the determination unit 34 acquires “preference” of the target ID as driver preference information from the driver preference table Tbl3 in the storage unit 35.

  The determination unit 34 outputs the recommended route determination parameter information Pr3, the purpose information, and the driver preference information to the route calculation unit 33.

  Further, the determination unit 34 outputs the recommended route determination parameter information Pr3 to the history registration unit 37.

  When the history registration unit 37 receives the recommended route determination parameter information Pr3 from the determination unit 34, the history registration unit 37 determines the route policy determined by the determination unit 34 based on the received recommended route determination parameter information Pr3 (hereinafter, also referred to as a determined route policy). Obtain).

  In this example, the history registration unit 37 acquires, as a determined route policy, an item corresponding to the determination parameter having the largest value among the determination parameters included in the recommended route determination parameter information Pr3.

  For example, the history registration unit 37 acquires “safety priority” as the determined route policy from the recommended route determination parameter information Pr3 illustrated in FIG.

  As described above, the history registration unit 37 writes the acquired determined route policy in the column corresponding to the item “selected route policy” in the raw travel history table Tbl1 (see FIG. 5).

  FIG. 11 is a diagram illustrating an example of each link processed by the route calculation unit in the route processing device according to the first embodiment of the present invention.

  FIG. 11 shows links Lk1 to Lk12 located between the departure point A and the destination I. A set cost is assigned to each link for each route policy (see FIG. 4). In this example, the larger the set cost value, the easier the corresponding route policy is reflected in the route calculation.

  The cost information included in the map data in the storage unit 35 indicates a set cost for each route policy in each link.

  Referring to FIG. 11, the route calculation unit 33 determines a recommended route. More specifically, for example, the route calculation unit 33 calculates evaluation values of a plurality of candidate routes using a weight having a size according to the content of the route policy. Then, determination processing P1 for determining a recommended route based on the calculated evaluation value and determination processing P2 for determining a recommended route including a waypoint based on the route characteristics are performed.

  More specifically, when the route calculation unit 33 receives the recommended route determination parameter information Pr3, the purpose information, and the driver preference information from the determination unit 34, from the departure point A to the destination I based on the purpose information and the map data. A plurality of candidate routes are derived. These candidate routes are specified by links, for example, link Lk1 → link Lk2 → link Lk5 → link Lk10.

  The route calculation unit 33 calculates a cost for each candidate route as an example of an evaluation value of the candidate route based on the recommended route determination parameter information Pr3 and the cost information.

  Specifically, for example, for the candidate route Rt1 specified by link Lk1 → link Lk2 → link Lk5 → link Lk10, the route calculation unit 33 calculates the cost of the link Lk1, the cost of the link Lk2, the cost of the link Lk5, and The sum of the costs of the link Lk10 is calculated as the cost of the candidate route Rt1.

  More specifically, the route calculation unit 33 calculates the cost of the link Lk1 as follows. That is, for example, the route calculation unit 33 applies the parameter for determining the corresponding route policy included in the recommended route determination parameter information Pr3 as a weight to the setting cost in the link Lk1, thereby reducing the cost of the link Lk1. calculate.

  Specifically, for example, the route calculation unit 33 multiplies the values of the same route policy in the setting cost of the link Lk1 shown in FIG. 11 and the determination parameter “driver ID = 1” shown in FIG. The sum of the multiplication results is calculated as the cost of the link Lk1.

  More specifically, the route calculation unit 33, for example, adds the sum of 1 × 2, 1 × 0, 3 × 0, 5 × 3, 5 × 0, 1 × 5, and 2 × 0, that is, 2 + 0 + 0 + 15 + 0 + 5 + 0 = 22 to the link Lk1. Calculated as the cost of

  The route calculation unit 33 similarly calculates the cost of the link Lk2, the cost of the link Lk5, and the cost of the link Lk10, and calculates the cost of the candidate route Rt1.

  The route calculation unit 33 calculates the cost of candidate routes different from the candidate route Rt1 in the same manner, and arranges a plurality of candidate routes from the departure point A to the destination I in descending order of cost based on the calculation result.

  Then, the route calculation unit 33 selects a candidate route within a predetermined order from the top (hereinafter, also referred to as a high-order route) from a plurality of candidate routes arranged in order of high cost.

  In the route calculation unit 33, based on the map data and the driver preference information, the POI along the driver's “preference” indicated by the driver preference information (hereinafter also referred to as the preference POI) in the selected higher route is the higher route. To check if it is located near.

  When the preference POI is not located in the vicinity of the upper route, the route calculation unit 33 determines the upper route having the highest cost as the recommended route.

  On the other hand, when the preference POI is located in the vicinity of the upper route, the route calculation unit 33 determines the upper route in which the preference POI is located in the vicinity as the recommended route.

  The route calculation unit 33 outputs recommended route information indicating the determined recommended route to the history registration unit 37. In addition, the route calculation unit 33 outputs navigation information including recommended route information and utterance information indicating the reason and comment for determining the recommended route to the transmission unit 36. The contents of the utterance information will be described later.

  When the history registration unit 37 receives the recommended route information from the route calculation unit 33, the recommended route indicated by the received recommended route information is stored in the “proposed route” in the unprocessed travel history table Tbl1 (see FIG. 5) as described above. Write in the column corresponding to the item.

  When receiving the navigation information from the route calculation unit 33, the transmission unit 36 wirelessly transmits the received navigation information to the wireless terminal device 151.

  In the route processing system according to the first embodiment of the present invention, the wireless terminal device 151 is configured to create the route determination parameter information Pr1, but the present invention is not limited to this. The route processing apparatus 101 may be configured to create route determination parameter information Pr1.

  More specifically, for example, the wireless terminal device 151 recognizes the driver's voice, and creates text information including text data indicating the driver's voice based on the recognition result. Then, the wireless terminal device 151 transmits the created text information to the route processing device 101.

  For example, when the determination unit 34 in the route processing device 101 receives text information from the wireless terminal device 151 via the acquisition unit 31, the determination unit 34 analyzes the content of the text data included in the received text information and determines the route based on the analysis result. Parameter information Pr1 is created.

  In addition, the wireless terminal device 151 may transmit voice information indicating the driver's voice to the route processing device 101. In this case, for example, when the determination unit 34 in the route processing device 101 receives voice information from the wireless terminal device 151 via the acquisition unit 31, the determination unit 34 creates text data indicating the driver's voice based on the received voice information. Then, as described above, the determination unit 34 generates the route determination parameter information Pr1 using the generated text data.

[Specific example 1]
12 to 15 are diagrams illustrating an example of the operation of each device in the path processing system according to the first embodiment of the present invention.

  Referring to FIG. 12, as described above, for example, when the driver inputs voice to the wireless terminal device 151 “I am worried about accident because I am tired”, the wireless terminal device 151 receives the voice of the driver. Each priority parameter is determined according to the content.

  The wireless terminal device 151 wirelessly transmits the route determination parameter information Pr1 including each determined priority parameter and the navigation request including the purpose information to the route processing device 101.

  When the route processing device 101 receives a navigation request from the wireless terminal device 151, the route processing device 101 creates navigation information according to the received navigation request, and wirelessly transmits the created navigation information to the wireless terminal device 151.

  When the wireless terminal device 151 receives the navigation information from the route processing device 101, the wireless terminal device 151 displays the recommended route indicated by the recommended route information included in the received navigation information on the screen and utters the content indicated by the utterance information included in the navigation information. Thus, the proposed route proposed by the route processing device 101, the decision reason, and the comment are presented to the driver.

  Specifically, the wireless terminal device 151 utters, as the reason for decision and the comment, based on the utterance information, “The number of signals and traffic volume is low, and the route is set with a safety priority route that does not pass through a residential area.”

[Specific example 2]
Referring to FIG. 13, for example, when the driver inputs a voice message “I want to return early” to radio terminal apparatus 151, radio terminal apparatus 151 has a correlation with the content of the driver's voice. For an item such as “priority”, each priority parameter is determined so that the priority parameter corresponding to the item becomes large and the total becomes 10.

  When the wireless terminal device 151 wirelessly transmits a navigation request to the route processing device 101 and receives navigation information from the route processing device 101 as a response to the navigation request, the wireless terminal device 151 displays a recommended route indicated by the recommended route information included in the received navigation information. While being displayed on the screen, the content indicated by the utterance information included in the navigation information is uttered.

  Specifically, the wireless terminal device 151 utters, as a determination reason and a comment, based on the utterance information, “The fastest route that arrives 20 minutes earlier than the usual route.”

  Note that the route calculation unit 33 in the route processing device 101 uses, for example, a route that is not the fastest route but that is faster than usual and has a lower toll as a recommended route when the driver is always driving with the cheapest route selected. You may have the function to calculate.

[Specific example 3]
Referring to FIG. 14, for example, when the driver inputs voice to the wireless terminal device 151 as “I do not know because it is the first place to go”, the wireless terminal device 151 correlates with the content of the driver's voice. Each priority parameter is determined such that the priority parameter corresponding to the item becomes larger and the total becomes 10 for the item such as “priority for easy understanding”.

  When the wireless terminal device 151 wirelessly transmits a navigation request to the route processing device 101 and receives navigation information from the route processing device 101 as a response to the navigation request, the wireless terminal device 151 displays a recommended route indicated by the recommended route information included in the received navigation information. While being displayed on the screen, the content indicated by the utterance information included in the navigation information is uttered.

  Specifically, the wireless terminal device 151 utters, as the reason for determination and the comment, based on the utterance information, “It was set with an easy-to-understand priority route that just turns right before Landmark A”.

  Note that the route calculation unit 33 may have a function of calculating, as a recommended route, a route that passes in the vicinity of the POI in consideration of the driver's preference, for example, according to the destination attribute. Specifically, for example, when the destination of a tennis-loving driver is a tennis court, the route calculation unit 33 calculates a route passing through the vicinity of the tennis equipment store as a recommended route.

[Specific example 4]
Referring to FIG. 15, for example, when the driver inputs voice to the wireless terminal device 151 as “feeling bad”, the wireless terminal device 151 correlates with the content of the driver's voice. For an item such as “priority”, each priority parameter is determined so that the priority parameter corresponding to the item becomes large and the total becomes 10.

  When the wireless terminal device 151 wirelessly transmits a navigation request to the route processing device 101 and receives navigation information from the route processing device 101 as a response to the navigation request, the wireless terminal device 151 displays a recommended route indicated by the recommended route information included in the received navigation information. While being displayed on the screen, the content indicated by the utterance information included in the navigation information is uttered.

  Specifically, the wireless terminal device 151 utters, as the reason for determination and the comment, based on the utterance information, “I set a ride priority route with less shaking and less traffic”.

  In addition, for example, when the determination parameter of the “riding comfort priority” item in the recommended route determination parameter information Pr3 is equal to or greater than a predetermined value, the route calculation unit 33 passes near the hospital in preparation for an unexpected situation. The route may be calculated as a recommended route.

[Other examples]
For example, when the driver's preference is to feel stress on a vehicle with a high vehicle height such as a truck, the route calculation unit 33 recommends a route with a low vehicle with a high vehicle height if the degree of traffic congestion is the same. Calculate as

  Moreover, the route calculation unit 33 determines a recommended route based on, for example, the remaining amount of energy used to travel the vehicle 1. Specifically, for example, when the vehicle 1 driven by the driver is an electric vehicle or the like, the route calculation unit 33 calculates a route passing through the vicinity of the power storage stand as a recommended route to the destination.

[Flow of operation]
Each device in the route processing system 301 includes a computer, and an arithmetic processing unit such as a CPU in the computer reads and executes a program including a part or all of each step of the following sequence diagram or flowchart from a memory (not shown). To do. Each of the programs of the plurality of apparatuses can be installed from the outside. The programs of the plurality of apparatuses are distributed while being stored in a recording medium.

  FIG. 16 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention processes probe information from the vehicle.

  Referring to FIG. 16, first, route processing apparatus 101 receives probe information from wireless terminal apparatus 151 in vehicle 1 or waits until the creation timing once a day, for example (step S102). NO and NO in step S104).

  When the path processing apparatus 101 receives the probe information from the wireless terminal apparatus 151 (YES in step S102), the path processing apparatus 101 accumulates the received probe information (step S108).

  Next, the path processing apparatus 101 waits until new probe information is received or the creation timing comes (NO in step S102 and NO in step S104).

  Then, when the creation timing comes (NO in step S102 and YES in step S104), the route processing apparatus 101 creates the raw travel history table Tbl1 based on the navigation request and the accumulated probe information (step S110).

  Next, the route processing apparatus 101 creates a travel history table Tbl2 based on the created raw travel history table Tbl1 and map data (step S112).

  Next, the route processing apparatus 101 creates a driver preference table Tbl3 by analyzing the created travel history table Tbl2 (step S114).

  Next, the route processing apparatus 101 creates a route policy determination table Tbl4 by analyzing the created travel history table Tbl2 (step S116).

  Next, the path processing apparatus 101 waits until it receives probe information or a new creation timing arrives (NO in step S102 and NO in step S104).

  Note that the order of steps S114 and S116 is not limited to the above, and the order may be changed.

  Further, the creation processing of each table in steps S110 to S116 is not limited to a configuration performed at a predetermined update timing, but may be a configuration performed at an arbitrary timing.

  FIG. 17 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention performs a navigation information creation process.

  Referring to FIG. 17, first, route processing apparatus 101 waits until a navigation request is received from wireless terminal apparatus 151 in vehicle 1 (NO in step S200).

  When the route processing apparatus 101 receives the navigation request from the wireless terminal device 151 (YES in step S200), the route processing apparatus 101 refers to the route policy determination table Tbl4 based on the route determination parameter information Pr1 included in the received navigation request. It is determined whether or not to be performed (step S202).

  When it is determined that the route policy determination table Tbl4 should be referred to (YES in step S202), the route processing apparatus 101 acquires each determination parameter of the target driver ID from the route policy determination table Tbl4 (step S204). .

  Next, the route processing apparatus 101 creates recommended route determination parameter information Pr2 by using each acquired determination parameter as a weight for the priority parameter included in the route determination parameter information Pr1 (step S206).

  Next, the route processing apparatus 101 creates recommended route determination parameter information Pr3 by standardizing each determination parameter included in the recommended route determination parameter information Pr2 (step S208).

  On the other hand, when it is determined that the route policy determination table Tbl4 should not be referred to (NO in step S202), the route processing apparatus 101 creates recommended route determination parameter information Pr3 having the same content as the route determination parameter information Pr1. (Step S210).

  Next, when the route processing apparatus 101 creates recommended route determination parameter information Pr3 (steps S208 and S210), the route processing device 101 calculates a recommended route based on the recommended route determination parameter information Pr3, purpose information, driver preference information, and map data. (Step S212).

  Next, the route processing device 101 transmits navigation information to the wireless terminal device 151 (step S214).

  Next, the route processing device 101 stands by until a new navigation request is received from the wireless terminal device 151 (NO in step S200).

  Note that the path processing device 101 can independently execute the processes of the flowcharts shown in FIGS. 16 and 17 as different processes.

[Modification of Route Processing Device 101]
In the route processing system 301, the acquisition unit 31 in the route processing device 101 is configured to acquire the destination based on the input operation on the wireless terminal device 151 by the driver from the wireless terminal device 151. However, the present invention is not limited to this. is not. The acquisition part 31 may be configured to automatically acquire the destination.

  For example, the acquisition unit 31 calculates the destination based on the route characteristic calculated by the calculation unit 32.

  Specifically, the acquisition unit 31 calculates the destination based on, for example, probe information received from the wireless terminal device 151 and the travel history table Tbl2 illustrated in FIG.

  More specifically, the acquisition unit 31 identifies a moving wireless terminal device 151 (hereinafter also referred to as a target wireless terminal device) and time based on the probe information.

  The acquisition unit 31 refers to the travel history table Tbl2 and, for example, based on the “date and time” history of the target wireless terminal device, finds the time zone in which the target wireless terminal device is moving on a daily basis and the corresponding destination. get.

  For example, when the time is included in the specified time zone, the acquisition unit 31 calculates the acquired destination as the destination of the target wireless terminal device.

  Moreover, the acquisition part 31 specifies the departure place of the radio | wireless terminal apparatus 151 based on probe information, for example.

  The acquisition unit 31 creates purpose information indicating the specified departure place and the calculated destination, and outputs the created purpose information and the ID of the target wireless terminal device, that is, the target ID, to the determination unit 34.

  Upon receiving the purpose information and the target ID from the acquisition unit 31, the determination unit 34 determines a route policy based on the received target ID and the travel history table Tbl2 in the storage unit 35, for example.

  Specifically, for example, the determination unit 34 acquires each determination parameter of the target ID as a determination parameter in the route policy determination table Tbl4 shown in FIG. 8, and determines a recommended route including each acquired determination parameter. Parameter information Pr3 is created.

  In addition, the determination unit 34 acquires “preference” of the target ID as driver preference information from the driver preference table Tbl3 in the storage unit 35.

  The determination unit 34 outputs the recommended route determination parameter information Pr3, the purpose information, and the driver preference information to the route calculation unit 33.

  In addition, although the path | route processing apparatus which concerns on the 1st Embodiment of this invention was set as the structure provided with the path | route calculation part 33, it is not limited to this. The route processing apparatus 101 may be configured without the route calculation unit 33.

  In the route processing device according to the first embodiment of the present invention, the route characteristics include the road type, the traveling environment, the preference, and the daily habits, but are not limited thereto. The route characteristics may include a road type, a driving environment, a preference, and a part of daily habits.

  In the route processing device according to the first embodiment of the present invention, the route calculation unit 33 is configured to perform both the decision processing P1 and the decision processing P2 based on the route policy. It is not limited. The route calculation unit 33 may be configured to perform one of the determination process P1 and the determination process P2. Specifically, when performing the determination process P1 without performing the determination process P2, the route calculation unit 33 determines, for example, an upper route having the highest cost as a recommended route. Further, when the determination process P2 is performed without performing the determination process P1, the route calculation unit 33 is, for example, a route in which the POI along the driver's “preference” indicated by the driver preference information is located in the vicinity and is the shortest. Determine the route as the recommended route.

  By the way, beyond the technique of patent document 1, the technique for calculating a more useful route | root for a driver | operator is calculated | required.

  On the other hand, in the route processing device according to the first embodiment of the present invention, the acquisition unit 31 acquires purpose information indicating the departure point and the destination of the vehicle 1. The calculation unit 32 calculates the route characteristics of the driver based on the purpose information acquired by the acquisition unit 31 and the driving history of the driver of the vehicle 1. Then, the determination unit 34 determines a policy for calculating the route of the vehicle 1 based on the route characteristic calculated by the calculation unit 32.

  With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends or past unique characteristics. Thereby, for example, a route useful for the driver can be calculated by following the determined policy. Therefore, information for calculating a route that is more useful to the driver can be provided.

  In the route processing device according to the first embodiment of the present invention, the route characteristics include at least one of a road type, a traveling environment, a preference, and a daily habit.

  With such a configuration, it is possible to more accurately reflect the driver's past intentions, past trends, or past unique characteristics on route characteristics.

  In the route processing device according to the first embodiment of the present invention, the acquisition unit 31 calculates the destination based on the route characteristics calculated by the calculation unit 32.

  With such a configuration, for example, since the destination can be automatically calculated based on the driver's past route selection tendency, the burden on the driver of inputting the destination can be reduced.

  In the route processing device according to the first embodiment of the present invention, the route calculation unit 33 determines a recommended route. The route calculation unit 33 calculates evaluation values of a plurality of candidate routes using weights having a size according to the contents of the policy, and determines a recommended route based on the calculated evaluation values, and route characteristics At least one of the determination processes P2 for determining a recommended route including the waypoint based on the is performed.

  With such a configuration, for example, when a parameter indicating a candidate route characteristic is set corresponding to a policy, an evaluation value indicating a degree of matching between the candidate route characteristic and the policy is calculated. It is possible to determine a recommended route adapted to the past intentions, past trends, past unique characteristics, and the like. Further, for example, the recommended route including the waypoint that matches the driver's preference can be provided by the configuration that determines the recommended route including the waypoint based on the route characteristic indicating the preference or the like.

  Next, another embodiment of the present invention will be described with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals and description thereof will not be repeated.

<Second Embodiment>
The present embodiment relates to a route processing system in which a server is further provided as compared with the route processing system according to the first embodiment. The contents other than those described below are the same as those of the route processing system according to the first embodiment.

  FIG. 18 is a diagram showing a configuration of a path processing system according to the second embodiment of the present invention.

  With reference to FIG. 18, the route processing system 302 includes a route processing device 102, a wireless terminal device 151, an audio content analysis server 161, and an audio data analysis server 162.

  The operation of the wireless terminal device 151 in the route processing system 302 is the same as that of the wireless terminal device 151 in the route processing system 301 shown in FIG.

  FIG. 19 is a diagram illustrating an example of route determination parameter information created by the wireless terminal device in the route processing system according to the second embodiment of the present invention.

  Referring to FIG. 19, route determination parameter information Pr21 is also referred to as driver ID, priority item parameter, that is, priority parameter and state parameter (hereinafter also referred to as state parameter) and emotion parameter (hereinafter also referred to as emotion parameter). ).

  More specifically, the priority item parameter is a parameter for representing the current intention of the driver. The priority items include, for example, “fastness priority”, “low priority”, “easy to understand priority”, “easy driving priority”, “riding comfort priority”, and “safety priority”. Note that the priority items may include other priority items such as “congestion priority” shown in FIG. Further, the priority item may be a part of each of the above items.

  The state parameter is a parameter for representing “fatigue level” which is an example of the state of the driver. The emotion parameter is a parameter for representing “anger level”, “joy level”, “sadness level”, and “excitement level”, which are examples of the driver's emotions.

  Referring to FIG. 18 again, the driver utters, for example, “I want to go home a little earlier” to radio terminal apparatus 151. Upon receiving the driver's utterance, the wireless terminal device 151 creates voice information indicating the voice waveform of the received utterance, and creates route determination parameter information Pr21 based on the created voice information.

  More specifically, the wireless terminal device 151 wirelessly transmits audio information to the audio content analysis server 161 and the audio data analysis server 162.

  FIG. 20 is a diagram for explaining the outline of the language analysis processing performed in the speech content analysis server in the route processing system according to the second embodiment of the present invention.

  Referring to FIG. 20, the audio content analysis server 161 performs language analysis processing for extracting the driver's current intention from the driver's utterance.

  Specifically, when the voice content analysis server 161 receives the voice information from the wireless terminal device 151, the voice content analysis server 161 indicates the intention information including the priority parameter of the above priority item and the driver's destination based on the received voice information. Create destination information.

  More specifically, the audio content analysis server 161 converts the audio waveform indicated by the audio information into text data indicating the content of the driver's utterance. In this example, the audio content analysis server 161 converts the audio information into text data indicating “I want to return a little earlier”.

  The speech content analysis server 161 performs morphological analysis on the text data, thereby decomposing the text data into morphemes such as verbs, nouns, adjectives, auxiliary verbs, and particles.

  In this example, the speech content analysis server 161 breaks down into four morphemes: “little” as a noun, “early” as an adjective, “return” as a verb, and “tai” as an auxiliary verb.

  The audio content analysis server 161 can use, for example, a knowledge database for translating morphemes, associating them with priority items, and associating them with destinations.

  In this example, the audio content analysis server 161 translates “little” to “medium” and assigns “3” as the parameter value. The audio content analysis server 161 associates “early” with the priority item of “fastness priority”.

  The audio content analysis server 161 associates “return” with “home” as the destination. Note that when the place name is included in the text data, the audio content analysis server 161 may preferentially associate the place name as the destination.

  The voice content analysis server 161 translates “tai” into “hope”, determines that the utterance of the driver included in the text data is an affirmative sentence, and maintains the destination as “home”. On the other hand, for example, when the speech content analysis server 161 determines that the utterance of the driver included in the text data is a negative sentence, the speech content analysis server 161 changes the destination to a place other than “home”.

  The audio content analysis server 161 creates intent information indicating that the priority parameter of the priority item “fastness priority” is 3, and destination information indicating “home” as the destination, and the created intention information and destination information are generated. Wireless transmission to the wireless terminal device 151 is performed.

  FIG. 21 is a diagram for explaining an overview of the fatigue level estimation process performed in the voice data analysis server in the route processing system according to the second embodiment of the present invention.

  Referring to FIG. 21, voice data analysis server 162 performs a fatigue level estimation process for estimating the driver's fatigue level from the driver's voice data.

  Specifically, when the voice data analysis server 162 receives voice information from the wireless terminal device 151, the voice data analysis server 162 creates state information including the above-described state parameters based on the received voice information.

  More specifically, for example, the voice data analysis server 162 performs frequency analysis on a voice waveform indicated by voice information, and determines the gender of the driver based on the frequency band to which the driver's voice belongs.

  The voice data analysis server 162 is, for example, Non-Patent Document 1 (Yuki Aoki, three others, “E-037 Development of Smartphone Application for Estimating Fatigue Level from Voice”, 12th Information Science and Technology Forum, 2013. Detecting voice fluctuations based on voice information and quantifying the detected fluctuations using SiSECA (Shiomi's Cerebral Exponentials Calculation Algorithm) described in September, 2nd volume, page 269) To calculate a CEM (Cerebral Exponent Macro) value, which is a brain activity index. The average male CEM value and the average female CME value are about 878 and 790, respectively.

  In this example, the voice data analysis server 162 determines that the driver is a male and calculates 800 as the CEM value.

  The voice data analysis server 162 has, for example, a CME value correspondence table Tbl25 indicating a correspondence relationship between CME values for each gender and fatigue states. Based on the CME value correspondence table Tbl25, the CME value of “800” and “Slightly tired” is acquired as the fatigue state corresponding to “male”.

  The voice data analysis server 162 estimates the fatigue level 3 corresponding to the acquired “slightly tired” as a state parameter, and creates state information indicating the estimation result.

  The voice data analysis server 162 performs an emotion estimation process for estimating the driver's emotion from the driver's voice data.

  Specifically, the voice data analysis server 162 creates emotion information including the emotion parameters described above based on the voice information.

  More specifically, the voice data analysis server 162 is, for example, non-patent document 2 (Shunji Mitsuyoshi, two others, “Application to stress using voice emotion recognition technology ST”, Journal of Japan Society for Fatigue, March 2011. , Vol. 6, No. 2, P. 19-27), the degree of emotions such as driver's anger, joy, sadness and excitement is quantified by using voice emotion analysis means (Sensitivity Technology) .

  In this example, the voice data analysis server 162 calculates 1, 1, 1, and 2 as the anger level, the joy level, the sadness level, and the excitement level, respectively, and creates emotion information including the calculated results.

  The voice data analysis server 162 wirelessly transmits the created state information and emotion information to the wireless terminal device 151.

  Referring to FIG. 18 again, wireless terminal apparatus 151 receives intention information and destination information from voice content analysis server 161, receives state information and emotion information from voice data analysis server 162, and receives the received intention. Route determination parameter information Pr21 (see FIG. 19) is created from the information, state information, and emotion information.

  In addition, the wireless terminal device 151 identifies the departure place of the vehicle 1 based on the radio wave from the GPS satellite, and creates destination information from the identified departure place and destination information.

  The wireless terminal device 151 wirelessly transmits a navigation request including the route determination parameter information Pr21 and the purpose information to the route processing device 102.

[Configuration of path processing device]
FIG. 22 is a diagram showing the configuration of the path processing device in the path processing system according to the second embodiment of the present invention.

  With reference to FIG. 22, the route processing apparatus 102 includes an acquisition unit 31, a calculation unit 32, a route calculation unit 33, a storage unit 35, a transmission unit 36, a history registration unit 37, and a determination unit 44. Prepare.

  The operations of the acquisition unit 31, the calculation unit 32, the route calculation unit 33, the storage unit 35, the transmission unit 36, and the history registration unit 37 in the route processing device 102 are the acquisition unit 31 and the calculation unit 32 in the route processing device 101 illustrated in FIG. , The route calculation unit 33, the storage unit 35, the transmission unit 36, and the history registration unit 37, respectively.

  The acquisition unit 31 acquires, for example, intention information indicating the driver's intention, state information indicating the driver's state, emotion information indicating the driver's emotion, and purpose information.

  More specifically, when receiving the navigation request from the wireless terminal device 151, the acquisition unit 31 outputs the received navigation request to the determination unit 44 and the history registration unit 37.

  FIG. 23 is a diagram illustrating an example of driver tendency parameter information created by the calculation unit in the path processing device according to the second embodiment of the present invention.

  Referring to FIG. 23, calculation unit 32 calculates a driver tendency parameter indicating the driver's route selection tendency based on, for example, the driver's route characteristics, specifically, travel history table Tbl2 (see FIG. 6). Information Pr22 is created.

  More specifically, for example, in the route policy determination table Tbl4 shown in FIG. 8, the calculating unit 32 includes an item “priority for driving” instead of the items “eco priority” and “congestion easing priority”. Create a route policy judgment table.

  In the route policy determination table, “fastness priority”, “lowness priority”, “easy to understand priority”, “driving priority”, “ride priority” and “safety priority” corresponding to a certain driver ID The parameter of the item is a driver tendency parameter.

  In this example, the driver tendency parameter information Pr22 is a driver tendency parameter for the driver ID included in the navigation request. Specifically, the driver tendency parameters in the items of “fastness priority”, “low priority”, “easy to understand priority”, “running priority”, “riding comfort priority”, and “safety priority” are 1 respectively. 4, 3, 4, 2 and 2.

  24 and 25 are diagrams showing examples of the utterance content inclination coefficient table held by the storage unit in the route processing device according to the second embodiment of the present invention.

  Referring to FIGS. 24 and 25, the utterance content gradient coefficient tables Tbl21 and Tbl22 are tables created in advance by the administrator of the route processing apparatus 102, for example, and the correspondence between the priority items and the gradient coefficients for the driver tendency parameters Show the relationship.

  FIG. 26 and FIG. 27 are diagrams showing an example of the state emotion inclination coefficient table held by the storage unit in the route processing device according to the second embodiment of the present invention.

  Referring to FIGS. 26 and 27, state emotion inclination coefficient tables Tbl23 and Tbl24 are tables created in advance by the administrator of route processing apparatus 102, for example, and correspondence between priority items and inclination coefficients for driver tendency parameters Show the relationship. Usage examples of the speech content gradient coefficient tables Tbl21 and Tbl22 and the state emotion gradient coefficient tables Tbl23 and Tbl24 will be described later.

  Referring to FIG. 22 again, the determination unit 44 calculates the route of the vehicle 1 based on the route characteristics calculated by the calculation unit 32 and the intention information, state information, and emotion information acquired by the acquisition unit 31, for example. Determine the route policy at.

  Specifically, for example, when receiving a navigation request from the acquisition unit 31, the determination unit 44 acquires a driver ID, that is, a target ID, route determination parameter information Pr21 (see FIG. 19), and purpose information from the received navigation request.

  FIG. 28 is a diagram illustrating an example of the intention reflection parameter information created by the determination unit in the route processing device according to the second embodiment of the present invention.

  Referring to FIG. 28, when the predetermined condition C1 is satisfied, the determination unit 44 uses the utterance content inclination coefficient table Tbl21 (see FIG. 24) in the storage unit 35 to determine route determination parameter information Pr21 and driver tendency parameter information Pr22. Based on (see FIG. 23), the intention reflection parameter information Pr23 including the intention reflection parameter is created.

  Here, the predetermined condition C1 is that, for example, in the priority item in the route determination parameter information Pr21, at least one of the priority parameters is equal to or higher than a predetermined threshold value Th1, specifically, 3 or higher. is there.

  More specifically, when the determination unit 44 recognizes that the priority parameter of the item “fastness priority” is 3 in the route determination parameter information Pr21, the determination unit 44 determines that the predetermined condition C1 is satisfied, The “priority” item is determined as the main item.

  For example, when there are three or more priority parameters in two or more items, the determination unit 44 searches for the item of the maximum priority parameter.

  For example, when the number of searched items is one, the determination unit 44 determines the item as a main item. On the other hand, for example, when there are a plurality of searched items, that is, when there are a plurality of priority parameter items having the same maximum value, the determination unit 44 refers to the driver tendency parameter information Pr22 and sets the driver tendency parameters of the corresponding items. And the item having the larger driver tendency parameter is determined as the main item.

  The determination unit 44 acquires each inclination coefficient corresponding to the main item, that is, the priority item of “priority for speed” from the utterance content inclination coefficient table Tbl21 held in the storage unit 35, and driver tendency parameter information Pr22 from the calculation unit 32. get.

  Since the main item is “fastness priority”, the determination unit 44 determines the priority parameter of “early priority”, that is, 3 in the route determination parameter information Pr21, as the parameter reflecting the intention of “early priority”.

  In addition, the determination unit 44 includes items other than the main item in the intention reflection parameter information Pr23, that is, items of “priority for priority”, “priority for easy understanding”, “priority for driving”, “priority for riding comfort”, and “priority for safety” The intention reflection parameter for is determined as follows.

  That is, the determination unit 44 sets the driver tendency parameter “4” in the driver tendency parameter information Pr22, that is, 4 and the slope coefficient corresponding to the main item in the speech content slope coefficient table Tbl21, that is, the priority item “priority priority”. 2 is calculated by multiplying by 0.5 which is the inclination coefficient of the item “priority for cheapness”. The determination unit 44 determines the calculated value as an intention reflecting parameter of “cheap priority”.

  Further, the determination unit 44 selects “easy-to-understand priority” from among the driver tendency parameters of “easy to understand priority” in the driver tendency parameter information Pr22, that is, 3 and each slope coefficient corresponding to the main item in the speech content slope coefficient table Tbl21. Multiply by 0.2 which is the slope coefficient of the item “” to calculate 0.6. Then, since the calculated 0.6 is not an integer, the determining unit 44 rounds 0.6 to calculate 1, and determines the calculated value as an intention reflecting parameter of “easy understanding priority”.

  In addition, the determination unit 44 sets the “driving priority” in the driver tendency parameter “4” in the driver tendency parameter information Pr22, that is, the inclination coefficient corresponding to the main item in the utterance content inclination coefficient table Tbl21. Is multiplied by 0.2 which is the slope coefficient of the item "" to calculate 0.8. Then, since the calculated 0.8 is not an integer, the determining unit 44 rounds 0.8 to calculate 1, and determines the calculated value as an intention reflecting parameter of “running priority”.

  In addition, the determination unit 44 sets the “ride comfort priority” driver tendency parameter “2” in the driver tendency parameter information Pr22, that is, “ride comfort priority” among the slope coefficients corresponding to the main item in the speech content slope coefficient table Tbl21. Multiply by 0.2 which is the slope coefficient of the item to calculate 0.4. Then, since the calculated 0.4 is not an integer, the determining unit 44 rounds 0.4 to calculate zero, and determines the calculated value as an intention reflecting parameter of “riding comfort priority”.

  Further, the determination unit 44 sets the “safety priority” item among the “safety priority” driver tendency parameter in the driver tendency parameter information Pr22, that is, 2 and the inclination factor corresponding to the main item in the utterance content inclination coefficient table Tbl21. 1 is calculated by multiplying by 0.5 which is an inclination coefficient. The determination unit 44 determines the calculated value as an intention reflecting parameter of “safety priority”. Thereby, the intention reflection parameter information Pr23 shown in FIG. 28 is created.

  FIG. 29 is a diagram illustrating an example of the intention reflection parameter information created by the determination unit in the route processing device according to the second embodiment of the present invention.

  Referring to FIG. 29, for example, when wireless terminal apparatus 151 receives intention information indicating that the priority parameter of the priority item of “safety priority” is 4, unlike route determination parameter information Pr21 shown in FIG. The priority parameters of the priority items in the parameter information for “fastness priority”, “low priority”, “easy to understand priority”, “running priority”, “riding comfort priority” and “safety priority” are, for example, 0, 0, 0, 0, 0 and 4.

  In this case, when the determination unit 44 recognizes that the priority parameter of the “safety priority” item is 4, the determination unit 44 determines that the predetermined condition C1 is satisfied, and determines the “safety priority” item as the main item.

  The determination unit 44 determines the intention reflection parameter based on each inclination coefficient corresponding to the main item in the speech content inclination coefficient table Tbl21, that is, the priority item of “safety priority”, and the driver tendency parameter information Pr22.

  Specifically, since the main item is “safety priority”, the determination unit 44 determines the “safety priority” priority parameter in the route determination parameter information, that is, 4 as the “safety priority” intention reflection parameter.

  In addition, the determination unit 44 determines the parameter reflecting the intention of “fastness priority” to zero that is a value obtained by multiplying the inclination coefficient by zero and the driver tendency parameter by one.

  In addition, the determination unit 44 determines the intention reflecting parameter of “low priority” to zero, which is a value obtained by multiplying the inclination coefficient by zero and the driver tendency parameter of 4.

  Further, the determination unit 44 determines the intention reflection parameter of “easy to understand priority” to zero that is a value obtained by multiplying the inclination coefficient by zero and the driver tendency parameter by three.

  In addition, the determination unit 44 determines the intention reflection parameter of “running priority” to 2 which is a value obtained by multiplying the inclination coefficient 0.5 and the driver tendency parameter 4.

  In addition, the determination unit 44 determines that the “riding comfort priority” intention reflection parameter is zero, which is a value obtained by multiplying the inclination coefficient by zero and the driver tendency parameter by two. As a result, the intention reflection parameter information Pr24 shown in FIG. 29 is created.

  On the other hand, unlike the case shown in FIG. 19, in the priority items in the route determination parameter information, the determination unit 44 performs the following processing when the predetermined condition C1 is not satisfied.

  That is, the determination unit 44 creates intention reflection parameter information (not shown) based on the route determination parameter information and the driver tendency parameter information Pr22 using the utterance content inclination coefficient table Tbl22 (see FIG. 25) in the storage unit 35. .

  In this case, the determination unit 44 creates the intention reflection parameter information using a creation method similar to the creation method of the intention reflection parameter information Pr23 and Pr24 shown in FIGS. 28 and 29, respectively.

  FIG. 30 is a diagram illustrating an example of state emotion reflection parameter information created by the determination unit in the route processing device according to the second embodiment of the present invention.

  Referring to FIG. 30, when satisfying the predetermined condition C2, the determination unit 44 uses the state emotion inclination coefficient table Tbl23 (see FIG. 26) in the storage unit 35 to determine route determination parameter information Pr21 (see FIG. 19) and Based on the driver tendency parameter information Pr22 (see FIG. 23), state emotion reflection parameter information Pr25 including a state emotion reflection parameter is created.

  Here, for example, in the condition and emotion items in the route determination parameter information Pr21, the predetermined condition C2 is that at least one of the parameters regarding the degree of fatigue, the degree of anger, or the degree of excitement is a predetermined threshold value. It is more than Th2 and smaller than a predetermined threshold value Th3. Here, threshold values Th2 and Th3 are, for example, 3 and 4, respectively.

  In this example, when the determination unit 44 recognizes that the state parameter for the fatigue level of the item “state” is 3 in the route determination parameter information Pr21, the determination unit 44 determines that the predetermined condition C2 is satisfied, The “priority” item is determined as the main item.

  The determination unit 44 acquires each inclination coefficient corresponding to the main item, that is, the priority item of “safety priority” from the state emotion inclination coefficient table Tbl23 held in the storage unit 35, and acquires the driver tendency parameter information Pr22 from the calculation unit 32 To do.

  The determination unit 44 determines a predetermined value, specifically 3, as the state emotion reflection parameter of the item “safety priority” in the state emotion reflection parameter information Pr25 according to the state emotion inclination coefficient table Tbl23.

  In addition, the determination unit 44 includes items other than the main item in the state emotion reflection parameter information Pr25, that is, “fastness priority”, “lowness priority”, “easy to understand priority”, “easy driving priority”, and “riding comfort priority”. The state emotion reflection parameter for the item is determined as follows.

  That is, the determination unit 44 determines the driver tendency parameter “1” in the driver tendency parameter information Pr22, that is, 1 and the slope coefficient corresponding to the main item in the state emotion slope coefficient table Tbl23, that is, the priority item “safety priority”. The zero is calculated by multiplying the slope coefficient zero of the “priority priority” item. The determination unit 44 determines the calculated value as the “early priority” state emotion reflection parameter.

  In addition, the determination unit 44 sets the “priority priority” driver tendency parameter in the driver tendency parameter information Pr22, that is, the “priority priority” item among the inclination factors corresponding to the main item in the state emotion inclination coefficient table Tbl23. The zero is calculated by multiplying by the slope coefficient zero. The determination unit 44 determines the calculated value as the state feeling reflection parameter of “cheap priority”.

  In addition, the determination unit 44 selects “easy to understand priority” among the driver tendency parameters of “easy to understand priority” in the driver tendency parameter information Pr22, that is, 3 and the slope coefficients corresponding to the main items in the state emotion slope coefficient table Tbl23. "0" is multiplied by zero which is the slope coefficient of the item. The determination unit 44 determines the calculated value as the state emotion reflection parameter of “easy to understand”.

  In addition, the determination unit 44 selects “driving priority” from among the driving tendency parameters of “driving priority” in the driver tendency parameter information Pr22, that is, 4 and the slope coefficients corresponding to the main items in the state emotion slope coefficient table Tbl23. 2 is calculated by multiplying by 0.5 which is the slope coefficient of the item “. The determination unit 44 determines the calculated value as the state emotion reflection parameter of “running priority”.

  In addition, the determination unit 44 sets the “riding comfort priority” driver tendency parameter “2” in the driver tendency parameter information Pr22, that is, “riding comfort priority” among the inclination coefficients corresponding to the main item in the state emotion inclination coefficient table Tbl23. Multiply by zero which is the slope coefficient of the item to calculate zero. The determination unit 44 determines the calculated value as a state / emotion reflection parameter of “riding comfort priority”.

  Also, in the priority items in the route determination parameter information, the determination unit 44 uses the state emotion inclination coefficient table Tbl24 (see FIG. 27) in the storage unit 35 when the predetermined condition C3 is satisfied, unlike the case shown in FIG. Thus, state emotion reflection parameter information is created based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22.

  Here, the predetermined condition C3 is that, for example, in the state and emotion items in the route determination parameter information Pr21, at least one of the parameters regarding the degree of fatigue, the degree of anger, or the degree of excitement is a predetermined threshold value. Th3, that is, 4 or more.

  In this case, the determination unit 44 creates the state emotion reflection parameter information using a creation method similar to the creation method of the state emotion reflection parameter information Pr25 shown in FIG.

  In addition, unlike the case shown in FIG. 19, the determination unit 44 does not create state emotion reflection parameter information in the priority items in the route determination parameter information when the predetermined conditions C2 and C3 are not satisfied.

  Referring to FIG. 22 again, the determination unit 44 acquires “preference” of the target ID from the driver preference table Tbl3 (see FIG. 7) in the storage unit 35 as driver preference information.

  The determination unit 44 outputs the intention reflection parameter information Pr23 and the state emotion reflection parameter information Pr25 as the recommended route determination parameter information, and the purpose information and driver preference information to the route calculation unit 33.

  Further, the determination unit 44 registers the intention reflection parameter information Pr23 and the state emotion reflection parameter information Pr25 as recommended route determination parameter information in order to register the determined route policy in the raw travel history table Tbl1 (see FIG. 5). To the unit 37.

  Referring to FIG. 11 again, upon receiving the intention reflection parameter information Pr23, the state emotion reflection parameter information Pr25, the purpose information and the driver preference information from the determination unit 44, the route calculation unit 33, based on the purpose information and the map data, A plurality of candidate routes from the starting point A to the destination I are derived.

  In this case, it is assumed that a set cost for priority on driving is assigned to each link.

  The route calculation unit 33 calculates the costs for a plurality of derived candidate routes based on the intention reflection parameter information Pr23, for example, a recommended route that reflects the driver's intention (hereinafter, referred to as the highest candidate route). It is also called the intention reflection recommended route.)

  For example, when the preference POI is located in the vicinity of a candidate route whose cost is within a predetermined order from the top, that is, the top route, based on the map data and the driver preference information, the route calculation unit 33 positions the preference POI in the vicinity. The upper route to be used may be determined as the recommended reflection route.

  Further, the route calculation unit 33 calculates the cost for each of the plurality of candidate routes based on the state emotion reflection parameter information Pr25, for example, a recommendation route that reflects the driver's state and emotions for the highest candidate route. It is determined as a route (hereinafter also referred to as a state emotion reflection recommended route).

  For example, when the preference POI is located in the vicinity of a candidate route whose cost is within a predetermined order from the top, that is, the top route, based on the map data and the driver preference information, the route calculation unit 33 positions the preference POI in the vicinity. The higher-order route to be used may be determined as the state emotion reflection recommended route.

  The route calculation unit 33 outputs navigation information including utterance information indicating the intention reflection recommended route and the state emotion reflection recommended route, the reason for determining these recommended routes, comments, and the like to the transmission unit 36.

  In this case, the reason and the comment are, for example, “We made the route 20 minutes faster than usual. It is a fast route with little traffic because it seems a little tired”.

  Further, the route calculation unit 33 indicates the determined intention reflection recommended route and state emotion reflection recommended route in order to register the intention reflection recommended route and the state emotion reflection recommended route in the raw travel history table Tbl1 (see FIG. 5). The recommended route information is output to the history registration unit 37.

  When receiving the navigation information from the route calculation unit 33, the transmission unit 36 wirelessly transmits the received navigation information to the wireless terminal device 151.

[Flow of operation]
FIG. 31 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the second embodiment of the present invention performs a navigation information creation process.

  Referring to FIG. 31, first, route processing apparatus 102 waits until a navigation request is received from wireless terminal apparatus 151 in vehicle 1 (NO in step S300).

  When the route processing apparatus 102 receives the navigation request from the wireless terminal apparatus 151 (YES in step S300), the route processing apparatus 102 determines whether or not the predetermined condition C1 is satisfied based on the route determination parameter information Pr21 included in the received navigation request. Is determined (step S302).

  Next, when it is determined that the predetermined condition C1 is satisfied (YES in step S302), the route processing apparatus 102 uses the utterance content inclination coefficient table Tbl21 based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22. Intention reflection parameter information is created (step S306).

  On the other hand, when determining that the predetermined condition C1 is not satisfied (NO in step S302), the route processing apparatus 102 uses the utterance content inclination coefficient table Tbl22 based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22. Intention reflection parameter information is created (step S304).

  Next, when the route processing apparatus 102 creates intention reflection parameter information (steps S304 and S306), it determines whether or not the predetermined condition C2 is satisfied based on the route determination parameter information Pr21 (step S308).

  Next, when it is determined that the predetermined condition C2 is satisfied (YES in Step S308), the route processing apparatus 102 uses the state emotion inclination coefficient table Tbl23 based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22. State emotion reflection parameter information is created (step S310).

  On the other hand, when the path processing apparatus 102 determines that the predetermined condition C2 is not satisfied but the predetermined condition C3 is satisfied (NO in step S308 and YES in step S312), the route processing parameter is determined using the state emotion inclination coefficient table Tbl24. State emotion reflection parameter information is created based on the information Pr21 and the driver tendency parameter information Pr22 (step S314).

  Next, when the route processing apparatus 102 creates state emotion reflection parameter information (steps S310 and S314), the intention reflection recommendation is based on the intention reflection parameter information, the state emotion reflection parameter information, the purpose information, the driver preference information, and the map data. The route and the state emotion reflection recommended route are calculated (step S318).

  If the route processing apparatus 102 determines that both of the predetermined conditions C2 and C3 are not satisfied (NO in step S308 and NO in step S312), the route processing apparatus 102 is based on intention reflection parameter information, purpose information, driver preference information, and map data. The intention reflection recommended route is calculated (step S316).

  Next, the route processing apparatus 102 calculates the intention reflection recommended route and the state emotion reflection recommended route (step S318) or calculates the intention reflection recommended route (step S316), and transmits navigation information to the wireless terminal device 151. (Step S320).

  Next, the route processing device 102 waits until a new navigation request is received from the wireless terminal device 151 (NO in step S300).

  Note that the route processing apparatus 102 is configured to create intention reflection parameter information based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22 using the utterance content inclination coefficient table Tbl22 in step S304. However, the present invention is not limited to this.

  The route processing apparatus 102 may be configured to directly create each priority parameter in the priority item in the route determination parameter information Pr21 as intention reflecting parameter information, or reflect each driver tendency parameter in the driver tendency parameter information Pr22 as is. It may be configured as parameter information.

  In the route processing device according to the second embodiment of the present invention, the acquisition unit 31 is configured to acquire intention information, state information, emotion method, and purpose information. However, the present invention is not limited to this. Absent. The acquisition unit 31 may be configured to acquire intention information, state information, part of emotion information, and purpose information.

  In the route processing device according to the second embodiment of the present invention, the determination unit 44 determines a route policy in route calculation of the vehicle 1 based on intention information, state information, emotion information, and route characteristics. However, the present invention is not limited to this. The determination unit 44 may be configured to determine the route policy based on part of the intention information, state information, and emotion information and the route characteristics.

  The route processing system according to the second embodiment of the present invention includes a voice content analysis server 161 that performs language analysis processing, and a voice data analysis server 162 that performs fatigue level estimation processing and emotion estimation processing. However, the present invention is not limited to this. The route processing system 302 may be configured not to include the audio content analysis server 161 and the audio data analysis server 162. In this case, for example, the route processing device 102 performs language analysis processing, fatigue level estimation processing, and emotion estimation processing based on the audio information transmitted from the wireless terminal device 151. Further, the route processing system 302 may be configured to include one server that performs language analysis processing, fatigue level estimation processing, and emotion estimation processing. As a result, the wireless terminal device 151 only needs to wirelessly transmit audio information to the one server. Therefore, compared to the configuration in which the audio information is transmitted wirelessly to each of the audio content analysis server 161 and the audio data analysis server 162, the wireless terminal device 151 is wireless. The amount of data wirelessly transmitted by the terminal device 151 can be reduced.

  In the route processing system according to the second embodiment of the present invention, the wireless terminal device 151 is configured to wirelessly transmit audio information to the audio content analysis server 161. However, the present invention is not limited to this. . The wireless terminal device 151 may be configured to convert a speech waveform indicated by the speech information into text data indicating the content of the driver's speech and wirelessly transmitting the information indicating the text data to the speech content analysis server 161. . As a result, the amount of data wirelessly transmitted from the wireless terminal device 151 to the audio content analysis server 161 can be reduced.

  As described above, in the route processing device according to the second embodiment of the present invention, the acquisition unit 31 acquires the intention information indicating the driver's intention and the destination information indicating the departure place and the destination of the vehicle 1. To do. The determination unit 44 determines a policy for calculating the route of the vehicle 1 based on the route characteristics calculated by the calculation unit 32 and the intention information acquired by the acquisition unit 31.

  With such a configuration, for example, the driver's current intention can be reflected in the policy. Therefore, by following the policy, a more useful route along the driver's intention can be calculated.

  Further, in the route processing device according to the second embodiment of the present invention, the acquisition unit 31 acquires state information indicating the state of the driver and purpose information indicating the departure place and the destination of the vehicle 1. The determining unit 44 determines a policy for calculating the route of the vehicle 1 based on the route characteristics calculated by the calculating unit 32 and the state information acquired by the acquiring unit 31.

  With such a configuration, for example, the driver's current state of fatigue or the like can be reflected in the policy, and by following the policy, a more useful route according to the driver's state can be calculated. .

  In the route processing device according to the second embodiment of the present invention, the acquisition unit 31 acquires emotion information indicating the driver's emotion and purpose information indicating the departure place and the destination of the vehicle 1. The determination unit 44 determines a policy for calculating the route of the vehicle 1 based on the route characteristics calculated by the calculation unit 32 and the emotion information acquired by the acquisition unit 31.

  With this configuration, for example, the driver's current anger level, joy level, sadness level, excitement level, and other emotions can be reflected in the policy. Useful routes can be calculated.

  Since other configurations and operations are the same as those of the route processing system according to the first embodiment, detailed description thereof will not be repeated here.

  Note that some or all of the components and operations of the devices according to the first embodiment and the second embodiment of the present invention can be combined as appropriate.

  The above embodiment should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  The above description includes the following features.

[Appendix 1]
An acquisition unit for acquiring destination information indicating a departure place and a destination of the vehicle;
A calculation unit that calculates a route characteristic of the driver based on the purpose information acquired by the acquisition unit and a travel history of the driver of the vehicle;
A determination unit that determines a policy in route calculation of the vehicle based on the route characteristic calculated by the calculation unit;
The acquisition unit further acquires route determination parameter information indicating at least one of the current intention of the driver, a current tendency, and a current unique characteristic;
The calculation unit creates a route policy determination table indicating at least one of the driver's past intentions, past trends, and past unique characteristics based on the route characteristics,
The route processing device, wherein the determination unit determines the policy based on the route determination parameter information acquired by the acquisition unit and the route policy determination table created by the calculation unit.

1 vehicle 31 acquisition unit 32 calculation unit 33 route calculation unit 34 determination unit 35 storage unit 36 transmission unit 37 history registration unit 44 determination unit 101, 102 route processing device 151 wireless terminal device 161 audio content analysis server 162 audio data analysis server 301, 302 Route processing system

Claims (6)

A route processing program used in a route processing device,
Computer
An acquisition unit for acquiring destination information indicating a departure place and a destination of the vehicle;
A calculation unit that calculates a route characteristic of the driver based on the purpose information acquired by the acquisition unit and a travel history of the driver of the vehicle;
A determination unit that determines a policy in route calculation of the vehicle based on the route characteristic calculated by the calculation unit;
Route processing program to function as   The route processing program according to claim 1, wherein the route characteristic includes at least one of a road type, a traveling environment, a preference, and a daily habit.   The route processing program according to claim 1, wherein the acquisition unit calculates the destination based on the route characteristic calculated by the calculation unit. The path processing device further includes:
It has a route calculator that determines recommended routes,
The route calculation unit calculates an evaluation value of a plurality of candidate routes using a weight having a size according to the content of the policy, and determines the recommended route based on each of the calculated evaluation values, and The route processing program according to any one of claims 1 to 3, wherein at least one of processing for determining the recommended route including a waypoint based on route characteristics is performed. An acquisition unit for acquiring destination information indicating a departure place and a destination of the vehicle;
A calculation unit that calculates a route characteristic of the driver based on the purpose information acquired by the acquisition unit and a travel history of the driver of the vehicle;
A route processing apparatus comprising: a determination unit that determines a policy in route calculation of the vehicle based on the route characteristic calculated by the calculation unit. A route processing method in a route processing device,
Obtaining destination information indicating the departure and destination of the vehicle;
Calculating the driver's route characteristics based on the acquired purpose information and the driving history of the driver of the vehicle;
And determining a policy for calculating the route of the vehicle based on the calculated route characteristic.

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