Multi-agent traffic simulation parallel computing method and device

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 ...

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

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