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Traffic simulation method, system, program and medium

A traffic simulation and heuristic algorithm technology, applied in design optimization/simulation, data processing applications, instruments, etc., can solve problems such as lack of flexibility, single model function, and lack of convenience for secondary development

Active Publication Date: 2021-12-31
深圳坤湛科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the four-stage method used in the macro-traffic planning model is a static model. In the model planning, the traffic system state is only modeled at a certain moment, such as morning and evening peak hours. If it is necessary to carry out different time periods, the usual solution is Establish multiple independent models to restore traffic in different states. The models are independent of each other and will not affect each other; in addition, the four-stage model is a system simulation from the perspective of God, that is, it focuses on the rule-makers through certain rules or Statistical information is used to plan and simulate the transportation system, without considering the decision-making and uncertainty of travelers in the travel process. In addition, from the perspective of the system, the model results usually consider the optimal system rather than the optimal individual. The result of distribution does not consider the actual decision-making process of the individual and the application of accumulated experience, but only coarse-grained determination of the traffic volume and service level of the road section from the system as a whole
[0004] However, micro-traffic models such as Vissim focus on simulating individual behavior, and can only analyze vehicles and pedestrians in a small area. As the simulation area expands, its simulation performance will drop sharply.
In addition, whether it is a micro model or a macro model, considering the versatility of commercial applications, the compatibility of the model is usually not high, the model function is relatively single, the flexibility is insufficient, the convenience of secondary development is insufficient, and some software does not even provide subsequent expansion interface

Method used

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  • Traffic simulation method, system, program and medium
  • Traffic simulation method, system, program and medium
  • Traffic simulation method, system, program and medium

Examples

Experimental program
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Effect test

no. 1 example

[0062] refer to figure 1 , figure 1 For the first embodiment of the traffic simulation method of the present application, the method includes:

[0063] Step S110: After the traveler's travel plan is initialized, execute the travel plan and generate an evaluation result.

[0064] Specifically, the traveler can be an intelligent individual in the traffic simulation system, and the travel situation of a certain period of time is simulated and calculated; the certain period of time can be 24 hours (one day), or a week, or longer, which is not limited here .

[0065] At the same time, the travel plan of the travelers in the traffic simulation system, as well as the road network, facilities, etc. are initialized. It can be the first time for all travelers to arrive at the area simulated by the model. They only have a basic understanding of the road system and do not know other The traveler's travel route and travel options can be inquired about the route and plan the travel plan ...

no. 2 example

[0118] refer to Figure 8 , Figure 8 For the second embodiment of the traffic simulation method of the present application, the method includes:

[0119] Step S210: Determine the travel mode, departure time and travel destination.

[0120] Specifically, travel modes can include public transportation, subway, walking, cycling (bicycles, electric vehicles, motorcycles), driving, etc.; all travelers randomly select feasible travel modes at this time (for example, if they do not own a Choose driving as the mode of travel. If the traveler chooses driving as the mode of travel for the first trip, the subsequent mode of travel also needs to choose driving as the mode of travel until returning to the destination, instead of leaving it in the middle travel destination).

[0121] Step S220: Using the travel mode, the travel time and the travel destination, select a travel plan based on the shortest travel distance.

[0122] Specifically, after the travel mode is determined, since t...

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Abstract

The invention discloses a traffic simulation method, system, program and medium. The method includes the following steps: after initializing the traveler's travel plan; executing the travel plan and generating an evaluation result; if the evaluation result does not satisfy the first A preset condition, then use personal travel decisions and super-heuristic algorithms to re-plan the travel plan to generate a new travel plan; execute the new travel plan and regenerate the evaluation results; until the evaluation results meet The first preset condition is to generate traffic simulation results. The invention can improve the accuracy, flexibility, expansibility and compatibility of traffic simulation by combining the traveler's decision-making, experience accumulation and uncertainty in the operation process of the traffic system.

Description

technical field [0001] The invention relates to the field of traffic simulation, in particular to a traffic simulation method, system, program and medium. Background technique [0002] Existing transportation planning models can usually be divided into macro-models and micro-models. Macro-models such as PTV’s Vissum, TransCAD, SUMO, etc. usually use a four-stage model to simply abstract the operation of the urban traffic system, aiming to solve the daily problems in the city. Travel planning for travel activities, effective planning and utilization of urban roads and traffic resources. Basically all models are based on the traditional four-stage traffic planning method for modeling analysis. The modeling process is divided into travel generation, travel distribution, mode division and flow distribution; microscopic models such as Vissim simulate the driving behavior of travelers on the road section And modeling, focusing on the interaction of traffic behavior between road n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06Q10/06G06Q50/26
CPCG06F30/20G06Q10/0637G06Q50/26
Inventor 吕明王金明虞振昕
Owner 深圳坤湛科技有限公司