Traffic simulation method and device, electronic equipment and computer readable storage medium

Abstract

Embodiments of the invention disclose a traffic simulation method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring traffic simulation initialization data, wherein the traffic simulation initialization data comprises one or more selected from road attribute information, moving object attribute information and moving objecttravel information; performing road-based traffic simulation according to the traffic simulation initialization data; and outputting a traffic simulation result. According to a technical scheme in theinvention, the simulation of traffic flow changes is realized by means of message transmission between roads, and the changes of road attributes can be updated at the lowest cost, so the problems ofdynamic road network data updating and road network information upgrading of road network maintenance can be well solved, and the requirement for large-scale traffic simulation can be met.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data simulation, and in particular to a traffic simulation method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] With the development of society, the number of motor vehicles continues to increase, and the pressure of traffic flow in traffic areas is also increasing. How to effectively alleviate traffic pressure and how to make controllable adjustments to traffic conditions is an urgent problem to be solved. Using computer technology to simulate and analyze traffic data can not only provide data support for the formulation of traffic management strategies, but also reduce the number of traffic detection equipment configurations and greatly reduce detection costs. However, most of the traffic simulation technologies in the prior art are based on the agent (agent) model, wherein the agent can represent a single individual, such as...

AI Technical Summary

Problems solved by technology

However, most of the traffic simulation technologies in the prior art are based on the agent (agent) model, wherein the agent can represent a single individual, such as pedestrians, vehicles, etc., and can also be composed of multiple individuals, such as drivers, passengers and vehicles. In actual application, the inventors found that this technology is limited by the cooperation mechanism between agents. For example, when the dynamic traffic data of an individual or several individuals in the agent are related to multiple simulation computing nodes, that is When the traffic behavior of an individual or several individuals in an agent spans multiple simulation computing nodes, due to the huge amount of communication data between the simulation computing nodes, it is difficult for the system to accurately calculate and simulate the dynamic traffic data of the agent in real time , so whenever a startup time is triggered, the simulation system based on the agent mode will traverse all agents to update their status, resulting in a decrease in simulation performance, and because the agent mode focuses on the vehicle, it cannot solve the problem of road network maintenance The problem of updating dynamic road network data, so it is only applicable to static road networks, cannot solve the problem of road network information upgrade well, and cannot meet the needs of large-scale traffic simulation

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