CN104794663A - Automatic itinerary generation system and method - Google Patents
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Abstract
The invention discloses an automatic itinerary generation system and method. The system comprises a POI database module, a passing city hot POI selection module, an eligible POI screening module and an intelligent daily journey filling module; the system is used for receiving parameters such as journey days, passing cities and interest preference input by a user, screening a certain quantity of eligible hot POIs according to the parameters, and automatically distributing the eligible hot POIs to the journey of each day to ensure that the POIs in itineraries of the daily journey accord with the constraint of space and time. The automatic itinerary generation system and method have the beneficial effects that the itineraries are completely automatically generated by the system except for the input of the restriction parameters, so that individual travelers and travel agencies are well helped to easily plan eligible itineraries and great convenience is brought to the travel of people; according to the method provided by the invention, the manual operation is replaced, so that the journey planning efficiency is greatly improved.
Description
Technical field
The present invention relates to a kind of automatic creation system and method, be specifically related to a kind of automatic creation system and method for itinerary.
Background technology
Tourist industry is current popular industry, and is the focus of future investments.Along with the raising of people's living standard, the generation frequency of people's tourism is more and more higher, and changes free walker by traditional into group's trip gradually.Always need before people go on a tour to spend a lot of time read tourism attack strategy and formulate stroke plan, in order to avoid be at a loss after arriving destination.And traditional travel agency still needs for visitor provides study of tourism itinerary production.Therefore, individual visitor and travel agency all need to make itinerary, but making itinerary is a difficult process, current most of individual visitor and travel agency formulate the main still manual type of method of itinerary, namely the travel information of a large amount of destination is first collected from various channel, then the sight spot thought is selected according to the popular degree of personal like and sight spot, afterwards according to time screening, arrangement sight spot, finally predetermined hotel and the air ticket etc. of trip.This mode very wastes time and energy, inefficiency.
Along with the development of mobile Internet, in recent years occurred many website and application providing Tourism Information Resources, user generally only needs three steps to make plan:
The first step: to go on a tour number of days, theme and destination in application interface input, system recommendation goes out some sight spots;
Second step: the sight spot of system recommendation, according to the hobby of oneself, is manually added in stroke list by user;
3rd step: the order of manually replacing sight spot and adjustment sight spot.
The website of this class and application greatly facilitate people and formulate itinerary, for manual type brings great convenience.
But still there is comparatively significantly shortcoming in this class website existing and application:
(1) still need user manually in travel schedule, to add sight spot, so, user still can not remove the work of reading attack strategy from, and very difficult when accepting or rejecting sight spot;
(2) user needs oneself to calculate playing the time of each sight spot, arranges stroke plan;
(3) user may be unreasonable when distributing sight spot to the stroke of every day.
Summary of the invention
For solving the deficiencies in the prior art, the object of the present invention is to provide a kind of automatic creation system and method for itinerary, this automatic creation system and method can remove the work of inspection information from, helping people's rapid development stroke route, effectively solving the problem of the inefficiency when formulating layout stroke route in itinerary.
In order to realize above-mentioned target, the present invention adopts following technical scheme:
An automatic creation system for itinerary, is characterized in that, comprising: POI data library module, popular POI Choosing module, qualified POI screening module and every daily travel intelligence packing module by way of city,
Aforementioned POI data library module is used for storage and maintenance POI data;
It is aforementioned that by way of city, popular POI Choosing module is used for picking out each popular POI by way of city from the existing POI of POI data library module, for generation route every day;
Aforementioned qualified POI screens module and is used for from the popular POI picked out, filter out the POI of some qualified POI as final utilization;
The qualified popular POI that aforementioned every daily travel intelligence packing module filters out by way of city for receiving each, first according to city, these POI are divided into groups, then the feature of these POI is analyzed, city cluster is carried out to these POI one by one according to proper vector, thus POI is divided into the stroke of some days.
The automatic creation system of aforesaid itinerary, is characterized in that, the POI in aforementioned POI data library module has popular degree attribute, the dynamic change in time of aforementioned popular degree, jointly determines primarily of user comment number, number of visits and actual number of playing.
The automatic creation system of aforesaid itinerary, is characterized in that, the POI in aforementioned POI data library module has theme and tag attributes, and aforementioned subject attribute refers to the travel mode that this POI is applicable to, and aforementioned label attribute refers to the classification belonging to this POI.
The automatic creation system of aforesaid itinerary, is characterized in that, the aforementioned index parameter that popular POI Choosing module is selected by way of city is the popular degree of POI.
The automatic creation system of aforesaid itinerary, is characterized in that, the condition that aforementioned qualified POI screens module screening comprises: theme, tag types and user preference.
Utilize aforesaid system automatically to generate the method for itinerary, it is characterized in that, comprise the following steps:
Step one: store POI data in POI data library module, aforementioned POI has popular degree attribute, subject attribute and tag attributes;
Step 2: popular POI Choosing module picks out each popular POI by way of city from the existing POI of POI data library module by way of city, and the index parameter selected is the popular degree of POI, the selected probability of the POI that popular degree is higher is larger;
Step 3: qualified POI screens module and filter out the POI of some qualified POI as final utilization from the popular POI picked out, and the condition of screening comprises: theme, tag types and user preference;
Step 4: every daily travel intelligence packing module receives each qualified popular POI filtered out by way of city, first according to city, these POI are divided into groups, then the feature of these POI is analyzed, city cluster is carried out to these POI one by one according to proper vector, thus POI is divided into the stroke of some days.
The method of aforesaid automatic generation itinerary, is characterized in that, in step 2, aforementioned by way of city popular POI Choosing module to select each method by way of the popular POI in city as follows:
Step 1: to the POI in this city according to popular degree with descending sort, obtain a POI array;
Step 2: produce a normal distribution random number of obeying N (0, σ) and distributing;
Step 3: with normal distribution random number as array index, index POI is as popular POI in POI array;
Step 4: repeat step 2, until abundant popular POI is selected in this city.
The method of aforesaid automatic generation itinerary, is characterized in that, in step 2, aforementioned by way of city popular POI Choosing module to select each method by way of the popular POI in city as follows:
Step 1: to the POI in this city according to popular degree with descending sort, obtain a POI array;
Step 2: directly get several the most popular POI above.
The method of aforesaid automatic generation itinerary, is characterized in that, in step 4, aforementioned every daily travel intelligence packing module adopts K-means clustering algorithm to carry out cluster to POI.
Usefulness of the present invention is:
(1) system of the present invention is except needs input limiting parameter, itinerary is generated automatically by system completely, good individual visitor and the travel agency of having helped makes satisfactory itinerary, like a cork for the travelling of people brings great convenience;
(2) method of the present invention instead of manual operation, greatly improves the efficiency that stroke is formulated.
Accompanying drawing explanation
Fig. 1 is the composition schematic diagram of the automatic creation system of itinerary of the present invention;
Fig. 2 is the cluster result schematic diagram of a specific embodiment.
Embodiment
Terminological interpretation: POI---point of interest, namely refers in particular to sight spot, hotel, dining room etc. in travel folder.
First the automatic creation system of itinerary of the present invention is introduced.
The automatic creation system of itinerary of the present invention, its receive user input stroke number of days, by way of the parameter such as city and interest preference, then the qualified popular POI of some is gone out according to these choice of parameters, and these qualified popular POI are automatically assigned in the stroke of every day, with the constraint making the POI in stroke route every day meet room and time.
Below in conjunction with the drawings and specific embodiments, concrete introduction is done to the present invention.
With reference to Fig. 1, the automatic creation system of itinerary of the present invention, it mainly comprises following four functional modules: POI data library module, popular POI Choosing module, qualified POI screening module and every daily travel intelligence packing module by way of city.Introduce each functional module respectively below.
(1) POI data library module
POI data library module is used for storage and maintenance POI data.
POI in POI data library module has popular degree attribute, and popular degree is determined jointly by factors, and determinative comprises: user comment number, number of visits and actual number etc. of playing, popular degree objectively reflects the fiery degree of this POI.The popular degree of POI is dynamic change in time, and user comments on each of POI, browses the popular degree that may change this POI each time.
In addition, the POI in POI data library module also has theme and tag attributes, and subject attribute refers to the travel mode that this POI is applicable to, and tag attributes refers to the classification belonging to this POI.Different themes and label are applicable to the different crowds that goes on a tour.
(2) the popular POI Choosing module by way of city
By way of city, popular POI Choosing module is used for picking out each popular POI by way of city from the existing POI of POI data library module, for generation route every day.
The index parameter that popular POI Choosing module is selected by way of city is the popular degree of POI, and the POI that popular degree is higher, selected probability is larger.
(3) qualified POI screens module
Qualified POI screens module and is used for from the popular POI picked out, filter out the POI of some qualified POI as final utilization, and screening conditions here include but not limited to the features such as theme, tag types and user preference.
(4) every daily travel intelligence packing module
The qualified popular POI that every daily travel intelligence packing module filters out by way of city for receiving each, first according to city, these POI are divided into groups, then the feature of these POI is analyzed, city cluster is carried out to these POI one by one according to proper vector, thus POI is divided into the stroke of some days.
Following introduction utilizes system above automatically to generate the method for itinerary.
Step one: store POI data
In POI data library module, store POI data, the POI of storage has popular degree attribute, subject attribute and tag attributes.Wherein, popular degree objectively reflects the fiery degree of this POI, and different themes and label provide reference easily to the different crowds of going on a tour.
Step 2: pick out each popular POI by way of city
By way of city, popular POI Choosing module picks out each popular POI by way of city from the existing POI of POI data library module, and the index parameter selected is the popular degree of POI, and the selected probability of the POI that popular degree is higher is larger.
When actual selecting, some popular POI are obtained with normal distribution stochastic sampling, high to ensure the selected probability of POI that popular degree is large, and the low POI of popular degree also has certain probability out recommended, selects each method by way of the popular POI in city as follows:
Step 1: to the POI in this city according to popular degree with descending sort, obtain a POI array;
Step 2: produce a normal distribution random number of obeying N (0, σ) and distributing, the maximal value of random number can be controlled by adjustment σ, i.e. the selection range of control POI;
Step 3: with normal distribution random number as array index, index POI is as popular POI in POI array;
Step 4: repeat step 2, until abundant popular POI is selected in this city.
In addition, each popular POI by way of city can also alternatively be selected:
Step 1: to the POI in this city according to popular degree with descending sort, obtain a POI array;
Step 2: directly get several the most popular POI above.
Although the second selection method abandons the POI ranked behind completely, this way can cause user cannot use the POI ranked behind, but it is also little on the impact selecting result to a certain extent, the advantage of the second selection method is adopted to be: system effectiveness is higher, can accelerate the speed selected.
Step 3: filter out some qualified POI
Qualified POI screens module from the popular POI picked out, filters out the POI of some qualified POI as final utilization, and the condition of screening comprises: theme, tag types and user preference.
It should be noted that, the sequencing of step 2 and step 3 can exchange.
Step 4: stroke POI being divided into some days
Every daily travel intelligence packing module receives each qualified popular POI filtered out by way of city, first according to city, these POI are divided into groups, then analyze the feature of these POI, city cluster is carried out to these POI one by one according to proper vector, thus POI is divided into the stroke of some days.
Due to stroke number of days clearly, by way of city number also known, therefore each city needs the cluster number produced also just to be aware of.For this situation, multiple clustering algorithm can be used, wherein adopt K-means clustering algorithm to be a reasonable selection.
When the feature analyzing POI, its geographic position is topmost parameter, and switch gate time, expense and theme etc. can supplement as restrictive condition.
Once cluster completes, the stroke route of every day is just uniquely decided, then is stringed together by every daily travel, can generate complete itinerary.Cluster result as shown in Figure 2.
The process that individual visitor or travel agency use system formulates of the present invention to go out satisfactory itinerary is:
(1) individual visitor or travel agency input travelling number of days, theme and N
cindividual by way of city { C
i| i ∈ [1, N
c];
(2) by way of city, popular POI Choosing module traversal, by way of city list, is each city C
ithe popular POI of some is chosen with normal distribution stochastic sampling;
(3) according to subject matter preferences, it is each city C that qualified POI screens module
iseveral qualified POI are filtered out from popular POI;
(4) according to travelling number of days, by way of city number N
cbe applicable to the number of days of playing with each city, every daily travel intelligence packing module is each city C
idistribute suitable number of days K
i;
(5) every daily travel intelligence packing module is to each city C
iqualified POI carries out K mean cluster according to the number of days distributed, and obtains K
iclass, each class is classified as the stroke of a day;
(6) POI is filled in stroke route corresponding every day according to cluster result by every daily travel intelligence packing module;
(7) every daily travel intelligence packing module calculates playing the time of each POI in every daily travel.
As can be seen here, system of the present invention is except needs input limiting parameter, and itinerary is generated automatically by system completely.
In sum, system of the present invention can help individual visitor and travel agency to make satisfactory itinerary like a cork, for the travelling of people brings great convenience.
It should be noted that, above-described embodiment does not limit the present invention in any form, the technical scheme that the mode that all employings are equal to replacement or equivalent transformation obtains, and all drops in protection scope of the present invention.
Claims (9)
1. an automatic creation system for itinerary, is characterized in that, comprising: POI data library module, popular POI Choosing module, qualified POI screening module and every daily travel intelligence packing module by way of city,
Described POI data library module is used for storage and maintenance POI data;
It is described that by way of city, popular POI Choosing module is used for picking out each popular POI by way of city from the existing POI of POI data library module, for generation route every day;
Described qualified POI screens module and is used for from the popular POI picked out, filter out the POI of some qualified POI as final utilization;
The qualified popular POI that described every daily travel intelligence packing module filters out by way of city for receiving each, first according to city, these POI are divided into groups, then the feature of these POI is analyzed, city cluster is carried out to these POI one by one according to proper vector, thus POI is divided into the stroke of some days.
2. the automatic creation system of itinerary according to claim 1, it is characterized in that, POI in described POI data library module has popular degree attribute, the dynamic change in time of described popular degree, jointly determines primarily of user comment number, number of visits and actual number of playing.
3. the automatic creation system of itinerary according to claim 2, it is characterized in that, POI in described POI data library module has theme and tag attributes, and described subject attribute refers to the travel mode that this POI is applicable to, and described tag attributes refers to the classification belonging to this POI.
4. the automatic creation system of itinerary according to claim 3, is characterized in that, the described index parameter that popular POI Choosing module is selected by way of city is the popular degree of POI.
5. the automatic creation system of itinerary according to claim 4, is characterized in that, the condition that described qualified POI screens module screening comprises: theme, tag types and user preference.
6. utilize the system described in claim 1 to 5 any one automatically to generate the method for itinerary, it is characterized in that, comprise the following steps:
Step one: store POI data in POI data library module, described POI has popular degree attribute, subject attribute and tag attributes;
Step 2: popular POI Choosing module picks out each popular POI by way of city from the existing POI of POI data library module by way of city, and the index parameter selected is the popular degree of POI, the selected probability of the POI that popular degree is higher is larger;
Step 3: qualified POI screens module and filter out the POI of some qualified POI as final utilization from the popular POI picked out, and the condition of screening comprises: theme, tag types and user preference;
Step 4: every daily travel intelligence packing module receives each qualified popular POI filtered out by way of city, first according to city, these POI are divided into groups, then the feature of these POI is analyzed, city cluster is carried out to these POI one by one according to proper vector, thus POI is divided into the stroke of some days.
7. the method for automatic generation itinerary according to claim 6, is characterized in that, in step 2, described by way of city popular POI Choosing module to select each method by way of the popular POI in city as follows:
Step 1: to the POI in this city according to popular degree with descending sort, obtain a POI array;
Step 2: produce a normal distribution random number of obeying N (0, σ) and distributing;
Step 3: with normal distribution random number as array index, index POI is as popular POI in POI array;
Step 4: repeat step 2, until abundant popular POI is selected in this city.
8. the method for automatic generation itinerary according to claim 6, is characterized in that, in step 2, described by way of city popular POI Choosing module to select each method by way of the popular POI in city as follows:
Step 1: to the POI in this city according to popular degree with descending sort, obtain a POI array;
Step 2: directly get several the most popular POI above.
9. the method for automatic generation itinerary according to claim 6, is characterized in that, in step 4, described every daily travel intelligence packing module adopts K-means clustering algorithm to carry out cluster to POI.
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| CN108444491A (en) * | 2018-03-21 | 2018-08-24 | 陈清洁 | A kind of Method for optimized planning of tourism traffic path |
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