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Multi-agent traffic simulation parallel computing method and device

A parallel computing and traffic simulation technology, applied in the field of traffic simulation, can solve the problems of difficult to meet the needs of traffic simulation, ignoring the individual characteristics of vehicles, limited operating efficiency, etc., to reduce traffic hazards, reduce resource waste, and ease traffic congestion.

Active Publication Date: 2021-10-19
SOUTHEAST UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

Existing traffic simulation technologies are mostly suitable for simulating traditional human-driven vehicles. The same or similar attribute parameters are used for simulated vehicles, ignoring the individual characteristics of vehicles, and insufficient consideration is given to intelligent vehicles that can perform information interaction, and most of them have limited operating efficiency. Poor effectiveness, difficult to meet current and future demands for traffic simulation

Method used

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  • Multi-agent traffic simulation parallel computing method and device
  • Multi-agent traffic simulation parallel computing method and device

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0042] Such as figure 1 As shown, a multi-agent traffic simulation parallel computing method and device disclosed in the embodiment of the present invention mainly includes inputting road network and vehicle data, calculating road network impedance, allocating parallel threads, parallel thread calculation, balancing parallel thread load, saving And steps such as displaying vehicle data, updating road condition information, etc. The specific implementation steps are as follows:

[0043] (1) Input the road network and vehicle data, where the road network data includes: the starting point, end point, mileage, toll of each road section, the geometric configuration of each intersection, and the signal control scheme. The schematic diagram of the road n...

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Abstract

The invention discloses a multi-agent traffic simulation parallel computing method, which uses a multi-thread parallel computing mode to carry out path optimization, state updating and simulation data storage and display on an agent vehicle, can calculate road impedance according to real-time road conditions, calculates and updates the optimal path of the vehicle in combination with vehicle attributes, the thread distribution can be adjusted according to the actual calculation time consumption, and the thread load is balanced. The invention further discloses a multi-agent traffic simulation parallel computing device, individual differences of different simulation vehicles are fully considered, common simulation vehicles and intelligent vehicles capable of carrying out information interaction are supported, a multi-thread parallel computing mode is used, the CPU computing power of equipment can be fully exerted, the simulation efficiency is improved, and dynamic path planning can be realized, so that the simulation result better fits the actual situation. The method can be used for researching vehicle behaviors, predicting traffic flow states and testing management and control measures, and help is provided for relieving traffic congestion, reducing traffic hidden dangers and reducing resource waste.

Description

technical field [0001] The invention relates to the technical field of traffic simulation, in particular to a multi-agent traffic simulation parallel computing method and device. Background technique [0002] Traffic simulation is an important research method in the fields of traffic flow, traffic control, and traffic safety. Compared with field test observation, it has the advantages of strong controllability, low cost, large sample size, and comprehensive information. Existing traffic simulation technologies are mostly suitable for simulating traditional human-driven vehicles. The same or similar attribute parameters are used for simulated vehicles, ignoring the individual characteristics of vehicles, and insufficient consideration is given to intelligent vehicles that can perform information interaction, and most of them have limited operating efficiency. The actual effect is poor, and it is difficult to meet the current and future needs of traffic simulation. Contents ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/00G06Q10/04G06Q50/30G08G1/01
CPCG06F30/27G06N3/006G06Q10/047G08G1/0125G06Q50/40
Inventor 王昊陈全
Owner SOUTHEAST UNIV
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