CN108428341A - A kind of emergency traffic management and dispatching method and system based on human-computer fusion - Google Patents

Abstract

The present invention provides a kind of emergency traffic management and dispatching method and system based on human-computer fusion, obtain traffic event information, according to traffic event information, the GIS geography information of traffic events scene is obtained, and manages the video monitoring information for transferring traffic events scene in database from traffic events；According to the video monitoring information of traffic events scene, divided rank is carried out to traffic time true traffic events, traffic events coverage and influence time are determined according to the grade of traffic events；According to traffic events coverage, traffic signal control strategy in each coverage is obtained, temporary traffic signal timing dial, and the intersection display reminding information in coverage are implemented to the intersection in coverage according to traffic signal control strategy.The present invention solves the problems, such as that the data source accuracy of road traffic emergency scheduling is not high, improves dispatching efficiency and accuracy rate, improves traffic events gathered data source confidence level and traffic management level.

Description

A traffic emergency management scheduling method and system based on human-machine fusion

technical field

The invention relates to the fields of traffic information engineering and control and intelligent traffic, in particular to a traffic emergency management and scheduling method and system based on human-machine integration.

Background technique

With the rapid development of our country's social economy, the per capita living standard has been greatly improved, and the number of cars per capita has increased year by year. The limited road resources are difficult to meet the growing demand for traffic travel, and traffic congestion has increased people's travel costs, especially in emergencies. Events, such as traffic accidents, car breakdowns, etc., lead to aggravated traffic congestion. From the perspective of travelers, due to the inability to obtain congestion information in time, secondary incidents are more likely to be triggered; from the perspective of managers, due to the lack of effective decision-making support technology and systems , unable to make reasonable and effective traffic control measures in time, leading to aggravation of traffic congestion. From the source point of view, the reason for the above results is that there is a lack of technical means to accurately collect traffic incidents. The inaccuracy of source data is like a "domino" effect. After secondary data processing, fusion, and reasoning, the level of error is gradually enlarged. , and finally get the conclusion that the reliability and usability are both low.

The technology involved in the analysis of traffic management emergency dispatch includes traffic incident detection technology, traffic GIS technology, traffic incident impact detection technology, traffic signal regional coordination control technology, traffic information release technology and other key technologies. The development status of existing technical achievements is as follows: traffic incident detection technology mainly includes video recognition method (application number: 201410719001.1), road section detector recognition method (application number: 201611055761.2), traffic flow entropy value calculation method (application number: 201410840963.2), floating car Data detection method (application number: 201210078667.4), audio-based traffic incident detection method (application number: 201710069291.3), etc.; traffic GIS technology mainly includes GIS-based emergency rescue vehicle route planning technology (application number: 201610896138.3), traffic conditions and vehicle conditions Real-time monitoring and three-dimensional management of the traffic management system based on the Internet of Things and dynamic 3DGIS (application number: 201210570865.2), urban traffic management business data and GIS road network information association processing tools and methods (application number: 201710624906.4), etc. ;Traffic event impact detection technology mainly includes the method and device for predicting the impact range of traffic events by using pre-established pairs of matching eigenvectors and predictive eigenvectors (application number: 201510502663.8), calculation of traffic event impact range based on traffic scene radar Method (Application No.: 201510341206.5), Method for Predicting the Influence Range of Expressway Traffic Events Based on Microscopic Simulation (Application No.: 201510071155.9), Determining the Impact of Traffic Events After an Emergency Traffic Incident Occurs on a Basic Expressway Section with Fully Controlled Access and Exit A method for determining the impact range of expressway emergency traffic accidents based on the range (application number: 201110358727.3), a decision tree-based method for predicting the spatial extent of the impact of urban expressway traffic events (application number: 201110225774.0), etc.

Comprehensive analysis, the traffic emergency dispatching technology involved in the above-mentioned prior art, from the source of data, is mainly based on the data collected by various sensors (such as coils, videos, floating cars, etc.), and is transmitted to The central processing system generates road traffic status through systematic analysis and judgment, and feeds back to travelers through various methods (such as websites, text messages, LED displays, etc.) to induce travelers to choose travel routes. The main shortcomings are: First, the accuracy of traffic data low, resulting in low traffic incident discrimination accuracy, easy to release wrong control information, which is not conducive to the correct implementation of the traffic management plan; second, the linkage of each subsystem is relatively poor, and the "passive" management after the traffic incident is released, that is, with the traffic The lack of linkage between video surveillance, traffic signal control, and traffic violation capture system reduces the effectiveness of traffic control measures.

Contents of the invention

In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a traffic emergency management scheduling method and system based on human-computer integration, which solves the problem of low accuracy of data sources for road traffic emergency scheduling, improves scheduling efficiency and accuracy, Improve the credibility of traffic incident collection data sources and the level of traffic management.

The technical scheme adopted in the present invention is:

A traffic emergency management scheduling method based on human-machine fusion, the method includes the following steps:

Obtain traffic event information, record and store it in the original database of traffic event information;

According to the traffic incident information, the GIS geographic information of the traffic incident location is obtained from the traffic incident management database, and the video surveillance information of the traffic incident location is retrieved from the traffic incident management database;

According to the video monitoring information of the place where the traffic incident occurred, judge whether the traffic incident is real, if the traffic incident is real, analyze the level of the traffic incident, and determine the scope and impact time of the traffic incident according to the level of the traffic incident;

According to the scope of influence of traffic events, the traffic signal control strategy in each influence scope is obtained from the expert system rule base, and the temporary traffic signal timing is implemented for the intersections within the influence scope in sequence according to the traffic signal control strategy hierarchy level, and within the influence scope Information is displayed at intersections.

Further, the traffic event management database includes fine-grained road information, information on important government agencies, schools, enterprises and institutions, road traffic video surveillance information, traffic signal control information, traffic information release resource information, and road numbers.

Further, the method for analyzing traffic incident grades is:

Determine the language variable value of the traffic event alarm information, and use the membership function of the language variable value of the traffic event alarm information to analyze the traffic event level. The traffic event level includes mild, serious, serious, and very serious.

Further, according to the level of the traffic event, the step of determining the impact range and impact time of the traffic event includes:

Determine the language variables and corresponding membership functions of the regional influence scope and time influence length of traffic incidents of various grades, and construct the expert system database;

Build an expert system rule base based on fuzzy control rules;

According to the level of traffic events, based on the expert system database and expert system rule base, the fuzzy relationship equation of traffic events is established;

The maximum membership degree judgment method, weighted average judgment method or median method is used to solve the fuzzy relationship equation, and the influence range and influence time of traffic incidents are obtained.

A traffic emergency management dispatching system based on human-computer integration, the system includes a telephone call center, a traffic management GIS subsystem, a traffic video monitoring subsystem, and a traffic incident decision-making expert subsystem;

The telephone call center is used to obtain traffic event information, and record and store it in the original database of traffic event information;

The traffic management GIS subsystem is used to determine the location of the traffic incident based on the traffic incident alarm information and the GIS geographic information in the traffic incident management database, and send it to the traffic video surveillance subsystem;

The traffic video monitoring subsystem is used to retrieve the video monitoring information of the traffic incident location from the traffic incident management database according to the location of the traffic incident, and provide an application interface for judging the authenticity of the traffic incident;

The traffic incident decision-making expert subsystem is used to classify the confirmed real traffic incidents into grades, determine the scope of influence of traffic incidents and the time of influence according to the grades of traffic incidents; Signal control strategy and traffic information release strategy.

Further, it also includes a traffic signal real-time control subsystem, the traffic signal real-time control subsystem receives the traffic signal control strategy sent by the traffic event decision-making expert subsystem, and implements temporary traffic signal allocation to the intersections within the influence range sequentially hierarchically. Time.

Further, it also includes a real-time traffic information release system, which receives the traffic information release strategy sent by the traffic event decision-making expert subsystem, and releases real-time information related to emergency dispatch and command, including the location, duration, and traffic control range of the event.

Further, a database subsystem is also included, and the database subsystem includes an original database of traffic event information, a traffic event management database, an expert system database and an expert system rule base.

Further, it also includes a management personnel assessment subsystem, which is used to record data such as clocking in and out of work, the number of calls answered, the number of traffic incidents handled, and the feedback effect of incidents handled by the management personnel of the telephone call center, and the data is recorded on a monthly, weekly, daily, and hourly basis. Perform statistical analysis of different granularities to form visualized information in the form of tables or graphs.

Further, the traffic event decision-making expert subsystem is also used for:

Collect information related to the handling of historical traffic incidents, including key information such as event type, severity, start and end time of handling, classify and summarize, and establish an original database of traffic incident information;

Based on the GIS geographic information system, build a traffic event management database, integrate fine-grained road information, information of important government agencies, schools, enterprises and institutions, and traffic video monitoring resources for road management, traffic signal control resources and traffic information release resource information;

Determine the language variables and corresponding membership functions of the regional influence scope and time influence length of traffic incidents of various grades, and construct the expert system database;

Build an expert system rule base based on all fuzzy control rules;

According to the level of traffic events, based on the expert system database and expert system rule base, the fuzzy relationship equation of traffic events is established;

The maximum membership degree judgment method, weighted average judgment method or median method is used to solve the fuzzy relationship equation, and the influence range and influence time of traffic incidents are obtained.

Compared with prior art, the beneficial effect of the present invention is:

(1) The present invention uses the telephone call center as the data collection source, avoids the shortcomings of inaccurate data collection and large information fusion errors of traditional collection equipment, and realizes the problem of building a credible data source with human communication language;

(2) The present invention constructs a traffic event decision-making expert system, effectively integrates the experience in actual traffic management, and realizes the effective integration of the traffic management "ecological chain" of traffic GIS, traffic video monitoring, traffic signal control and traffic information release , to achieve the whole process management of "alarm-confirmation-control-induction", and give full play to the maximum management benefits of each subsystem.

Description of drawings

The accompanying drawings constituting a part of the present application are used to provide further understanding of the present application, and the schematic embodiments and descriptions of the present application are used to explain the present application, and do not constitute improper limitations to the present application.

Figure 1 is a schematic diagram of the structure of the traffic emergency management and dispatching system based on human-machine fusion;

Fig. 2 is a flow chart of a traffic emergency management and scheduling method based on human-machine fusion;

Fig. 3 is a schematic diagram of the membership degree function of event severity;

Fig. 4 is the membership degree function of the area of influence;

Fig. 5 is a schematic diagram of the main interface of the traffic emergency management dispatching system based on human-machine fusion.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and/or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and/or combinations thereof.

As introduced in the background technology, the existing technology has low accuracy of traffic data, which leads to low accuracy rate of traffic event discrimination, easy release of wrong control information, which is not conducive to the correct implementation of traffic management schemes, and the linkage of various subsystems is relatively poor. After the release of the event, "passive" management is the main approach, that is, the lack of linkage with traffic video surveillance, traffic signal control, traffic violation capture system, etc., to reduce the insufficiency of the implementation effect of traffic control measures. In order to solve the above technical problems, this application proposes a Traffic emergency management dispatching method and system based on human-machine fusion.

In a typical implementation of the present application, as shown in Figure 1, a human-machine fusion-based traffic emergency management dispatching system is provided, the system includes a traffic incident telephone call center, traffic management GIS subsystem, traffic video surveillance Subsystem, traffic event decision-making expert subsystem, traffic signal real-time control subsystem, traffic information release subsystem, traffic violation monitoring subsystem, management personnel performance appraisal subsystem and database subsystem.

The traffic incident telephone call center realizes the intelligent call-in management of various traffic alarm telephones by setting special alarm telephones for traffic incidents (including traffic jams, vehicle breakdown, etc.) and linkage with traffic accident alarm telephones, and sets up special management personnel , through voice communication, real-time acquisition of various sudden and frequent traffic incidents on the road, and real-time recording of incoming calls for later evidence collection and assessment.

The traffic video management GIS subsystem realizes basic functions such as editing, management, and viewing of GIS geographic information layers of the road traffic network, and realizes editing work such as input, editing, and deletion of traffic video surveillance equipment information, and realizes the equipment Hierarchical display, and can display the serial number, model, installation location, installation time, maintenance status and other information of the equipment through mouse hovering and other operations.

The traffic video monitoring subsystem realizes operations such as collection, transmission and storage of video information at various key locations on the road network, especially interacts with the traffic management GIS system, and selects or calls traffic video on the road network according to the set requirements in the GIS system Monitor equipment information, and display road video streams in real time in the called-out monitoring window, and can perform operations such as zooming in, zooming out, and dragging video streams. In the present invention, the traffic video monitoring subsystem is mainly used for managers to view and confirm the authenticity of traffic events in real time by calling the nearest neighbor video resources on site after receiving an alarm call.

The traffic event management expert subsystem is mainly composed of traffic control schemes based on expert experience, based on massive daily traffic event data, based on traffic engineering, information technology, and data mining technology, with traffic event severity as the classification standard, analyzing The scope and duration of various events are formed, and an expert database is formed. Reasonable implication rules are adopted, based on real-time event information, the scope of influence of the current event is deduced, and a reasonable traffic signal control strategy is given.

The traffic signal real-time control subsystem realizes the issuance and execution of a one-click timing scheme for the traffic signal phase, phase sequence, and period within the set range, and implements temporary traffic signal allocation for intersections within the influence range sequentially hierarchically. The timing strategy ensures the reasonable allocation of traffic signals within the impact range of traffic events, ensures the accessibility of the traffic road network, and avoids the occurrence of traffic jams.

The real-time release system of traffic information realizes real-time release of emergency dispatching and command-related information based on various media such as LED display screens, mobile phone text messages, WeChat clients, websites, and radio stations, including the location of incidents, duration, and traffic control range, In order to help travelers better choose travel routes, avoid the incident location as soon as possible, and avoid the occurrence of secondary incidents.

The management personnel performance appraisal subsystem records in real time the data of telephone call center management personnel clocking in and out of work, the number of calls answered, the number of traffic incidents handled, the feedback effect of incidents handling, etc. Granular statistical analysis to form tables, graphs and other visual information as the original data for staff performance evaluation and traffic incident management expert system rule modification.

The database subsystem is mainly composed of an original traffic event information database, a traffic event management database, an expert system database and an expert system rule base.

The traffic emergency management dispatching system based on human-machine fusion disclosed in the embodiment of the present invention uses the telephone call center as the data collection source, avoids the shortcomings of inaccurate data collection and large information fusion errors of traditional collection equipment, and realizes the construction of human-computer communication language The problem of trusted data sources; a traffic incident decision-making expert system was built, which effectively integrated the experience in actual traffic management, and realized the traffic management "ecological chain" of traffic GIS, traffic video surveillance, traffic signal control and traffic information release. Effective integration achieves the whole-process management of "alarm-confirmation-control-induction" and fully exerts the maximum management benefits of each subsystem.

Figure 5 is a schematic diagram of the main interface of the traffic emergency management and dispatching system based on human-computer integration. The system supports B/S or C/S architecture, and the roles are divided into two categories: administrators and ordinary users. The administrator has higher authority to realize the main functions related to system maintenance, including user management, maintenance of basic traffic GIS information, maintenance of video surveillance equipment, maintenance of signal control equipment, maintenance of information release equipment, and maintenance of expert system etc. Ordinary users mainly use the system.

In a typical implementation of the present application, as shown in FIG. 2 , a traffic emergency management dispatching method based on human-machine fusion is provided, and the method includes the following steps:

Step 1: The traffic management department releases a unified traffic incident alarm number to the public, mainly short numbers, which are easy to remember. At the same time, a unified platform is established to realize the integration of accident alarm 122 and this number. In the case of sudden traffic jams, the social telephones are the main ones, and in the event of traffic accidents, the 122 accident alarm telephones are the main ones. The information sources are classified, and the system handles them by category to avoid confusion.

Step 2: After the event or accident alarm call is connected, multiple incoming calls can be queued to answer through the traffic incident call center. After the call comes in, the system pops up a prompt interface, which automatically displays the main information such as the phone number, and reserves the main fields such as the name of the caller to be filled. Manually input the reserved caller’s name and other content according to the content of the alarm information, and at the same time start the call The recording is stored in the database, and the storage field should contain information such as date, current operator on duty, and alarm keywords.

Step 3: Mark the location where the alarm occurred on the traffic GIS, then retrieve the video resources of the event point or surrounding locations, turn on the camera (including operations such as zooming in, zooming in, and rotating), and identify the authenticity of the event. If the alarm is true, Operating system "confirm" button, formally receive the alarm.

Step 4: According to the situation on the spot, judge the severity of the alarm situation, which includes "slight, relatively serious, serious, and very serious"; the severity of the system alarm situation is used as an input variable, input into the traffic incident decision-making expert subsystem, Through a series of fuzzy reasoning and analysis, the scope and time of influence of traffic incidents can be obtained by reasoning.

The steps of a series of fuzzy reasoning and analysis performed by the traffic event decision-making expert subsystem include:

(1) Collect information related to the handling of historical traffic events (including traffic accidents), including key information such as event type, severity, start and end time of processing, classify and summarize, and establish an original database of traffic event information.

(2) Based on the GIS geographic information system, build a traffic incident management database, integrate fine-grained road information, information of important government agencies, schools, enterprises and institutions, and traffic video monitoring resources for road management, traffic signal control resources, and traffic information release resource information , use the road number or other key fields to build associations with other types of resources.

(3) If the traffic event is congestion, it can be characterized by the queue length; if it is a traffic accident, it can be represented by whether the accident has death and the number of deaths or the number of vehicles in the accident; determine the language variable value of the traffic event input, in, According to human language habits, such as {slight, medium, serious, very serious} can be used to measure the severity of traffic incidents. According to the statement of the on-site alarm personnel and the judgment of the staff, select the corresponding level through the drop-down control in the system ; The membership function of each language value can be triangular, bell-shaped, trapezoidal, or discrete, etc. An example of the triangular membership function is shown in Figure 3.

(4) Determine the language variables of regional influence range R and time influence length T of traffic events of each level and their corresponding membership functions. The area of influence R is a circular or elliptical area with the origin of the event and the radius of r, and its language variable value can be taken as in According to human language habits, values such as {very small, small, small, medium, large, large} can be taken; the degree of membership of the regional influence range and time influence length can also be triangular, bell-shaped, trapezoidal, or discrete, etc. Various types, examples of trapezoidal membership functions of regional influence ranges are shown in Figure 4.

Time influences the value of the linguistic variable of length T in According to human language habits, values such as {very short, short, medium, long, very long} can be taken, and the domain of discussion is X, which is divided into 7 levels, that is, X={1,2,3,4,5 ,6,7}, the fuzzy subset is {VS,S,M,L,VL}, and its corresponding membership degree values are shown in Table 1; Indicates the membership degree value corresponding to each fuzzy subset value in class X.

Table 1 Membership value of fuzzy subset

The membership function constructed in the above steps (3) and (4) constitutes the main content of the database in the expert system knowledge base.

(5) Construct the rule base of the knowledge base of the expert system, which is used to store all the fuzzy control rules, and provide control rules for the "reasoning machine" during reasoning. The i-th inference rule is

The global rule base is:

(6) Build an inference engine. The function of the inference engine in the fuzzy controller is to complete the fuzzy reasoning according to the input fuzzy quantity and the knowledge base (database, rule base), and solve the fuzzy relational equation to obtain the fuzzy control quantity. Knowing that the severity of road traffic events obtained in real time is A, the output fuzzy set U can be obtained by the synthetic algorithm of fuzzy reasoning, namely

(7) The interface method of defuzzification or clarity can adopt the maximum degree of membership judgment method, weighted average judgment method, and median method, etc., wherein the weighted average method is as follows:

So far, according to the real-time road traffic event detection results, the road network range and control time that should be implemented traffic control can be deduced. After the system completes the reasoning, it records the whole working process of the system into the expert system database.

Step 5: According to the scope of time influence, determine the key intersections within the scope in the traffic management GIS subsystem, retrieve the information of traffic signal equipment, and issue the signal control strategy obtained by fuzzy reasoning. The temporary traffic signal timing strategy is implemented at the intersection, and the optimization goal is to minimize the traffic delay within the influence range of the traffic event, that is, to avoid large-scale traffic congestion; while implementing the traffic signal control strategy, the LED guidance screen equipment within the influence range Issue prompt information such as "A traffic accident occurred on the ** section, please detour".

Step 6: During the event processing, the system can provide the function of viewing the on-site processing video at any time, and can automatically record the start and end time of the event processing as an important basis for revising the rule base of the expert system; after the event processing is completed, restore the normal timing of traffic signals .

The traffic emergency management and scheduling method based on human-computer fusion proposed by the embodiment of the present invention aims to realize precise traffic management command and scheduling in the event of traffic incidents, and make the application more convenient and friendly based on intelligent fuzzy reasoning technology.

Although the specific implementation of the present invention has been described above in conjunction with the accompanying drawings, it does not limit the protection scope of the present invention. Those skilled in the art should understand that on the basis of the technical solution of the present invention, those skilled in the art do not need to pay creative work Various modifications or variations that can be made are still within the protection scope of the present invention.

Claims (10)

1. A traffic emergency management scheduling method based on man-machine fusion, is characterized in that, comprises the following steps: Obtain traffic event information, record and store it in the original database of traffic event information; According to the traffic incident information, the GIS geographic information of the traffic incident location is obtained from the traffic incident management database, and the video surveillance information of the traffic incident location is retrieved from the traffic incident management database; According to the video monitoring information of the place where the traffic incident occurred, judge whether the traffic incident is real, if the traffic incident is real, analyze the level of the traffic incident, and determine the scope and impact time of the traffic incident according to the level of the traffic incident; According to the scope of influence of traffic events, the traffic signal control strategy in each influence scope is obtained from the expert system rule base, and the temporary traffic signal timing is implemented for the intersections within the influence scope in sequence according to the traffic signal control strategy hierarchy level, and within the influence scope Information is displayed at intersections. 2. The traffic emergency management scheduling method based on man-machine fusion according to claim 1, wherein the traffic event management database includes fine-grained road information, important government agencies, schools, and enterprises and institutions information, road traffic video surveillance information , traffic signal control information, traffic information release resource information and road number. 3. The traffic emergency management dispatching method based on man-machine fusion according to claim 1, characterized in that, the method for analyzing traffic event levels is: Determine the language variable value of the traffic event alarm information, and use the membership function of the language variable value of the traffic event alarm information to analyze the traffic event level. The traffic event level includes mild, serious, serious, and very serious. 4. The traffic emergency management scheduling method based on man-machine fusion according to claim 1, characterized in that, according to the grade of the traffic event, the step of determining the scope of influence of the traffic event and the time of impact comprises: Determine the language variables and corresponding membership functions of the regional influence scope and time influence length of traffic incidents of various grades, and construct the expert system database; Build an expert system rule base based on fuzzy control rules; According to the level of traffic events, based on the expert system database and expert system rule base, the fuzzy relationship equation of traffic events is established; The maximum membership degree judgment method, weighted average judgment method or median method is used to solve the fuzzy relationship equation, and the influence range and influence time of traffic incidents are obtained. 5. A traffic emergency management dispatching system based on man-machine fusion, characterized in that the system includes a telephone call center, a traffic management GIS subsystem, a traffic video monitoring subsystem and a traffic incident decision-making expert subsystem; The telephone call center is used to obtain traffic event information, and record and store it in the original database of traffic event information; The traffic management GIS subsystem is used to determine the location of the traffic incident based on the traffic incident alarm information and the GIS geographic information in the traffic incident management database, and send it to the traffic video surveillance subsystem; The traffic video monitoring subsystem is used to retrieve the video monitoring information of the traffic incident location from the traffic incident management database according to the location of the traffic incident, and provide an application interface for judging the authenticity of the traffic incident; The traffic incident decision-making expert subsystem is used to classify the confirmed real traffic incidents into grades, determine the scope of influence of traffic incidents and the time of influence according to the grades of traffic incidents; Signal control strategy and traffic information release strategy. 6. The traffic emergency management dispatching system based on man-machine fusion according to claim 5, characterized in that it also includes a traffic signal real-time control subsystem, and the traffic signal real-time control subsystem receives the traffic event decision-making expert subsystem to send The traffic signal control strategy implements temporary traffic signal timing at the intersections within the influence range sequentially in a hierarchical manner. 7. The traffic emergency management dispatching system based on human-machine fusion according to claim 5, characterized in that it also includes a real-time release system for traffic information, which receives the traffic information release strategy sent by the traffic event decision-making expert subsystem, and releases emergency dispatch in real time Command relevant information, including the location of the incident, its duration, and the extent of traffic restrictions. 8. The traffic emergency management dispatching system based on man-machine fusion according to claim 5, characterized in that it also includes a database subsystem, and the database subsystem includes an original database of traffic event information, a traffic event management database, an expert system database and expert system rule base. 9. The traffic emergency management dispatching system based on human-computer integration according to claim 5, characterized in that it also includes a management personnel assessment subsystem, which is used to record the telephone call center management personnel clocking in and out of work, the number of calls received, and traffic incidents. Process data such as quantity, event processing feedback effect, etc., and carry out statistical analysis of different granularities according to monthly, weekly, daily, hourly and other standards to form visual information in the form of tables or graphs. 10. The traffic emergency management dispatching system based on man-machine fusion according to claim 5, wherein the traffic event decision-making expert subsystem is also used for: Collect information related to the handling of historical traffic incidents, including key information such as event type, severity, start and end time of handling, classify and summarize, and establish an original database of traffic incident information; Based on the GIS geographic information system, build a traffic event management database, integrate fine-grained road information, information of important government agencies, schools, enterprises and institutions, and traffic video monitoring resources for road management, traffic signal control resources and traffic information release resource information; Determine the language variables and corresponding membership functions of the regional influence scope and time influence length of traffic incidents of various grades, and construct the expert system database; Build an expert system rule base based on all fuzzy control rules; According to the level of traffic events, based on the expert system database and expert system rule base, the fuzzy relationship equation of traffic events is established; The maximum membership degree judgment method, weighted average judgment method or median method is used to solve the fuzzy relationship equation, and the influence range and influence time of traffic incidents are obtained.