The invention belongs to the technical field of road traffic signal control, and particularly relates to a multi-agent-based regional road traffic signal control optimization method, which comprises the steps of S1, preying arterial traffic intersection information and a multi-mode traffic flow mode; s2, generating a signal mastering agent for each intersection in the trunk line; according to the method, simulation modeling of the multi-mode traffic artery and flow generation are carried out, and intelligent agents of all intersections of the multi-mode traffic artery are trained and output; multi-mode traffic signal mastering of each intersection is designed as an intelligent agent, cooperation of all intersections of the arterial traffic is comprehensively considered, the traffic signal mastering intelligent agents are optimized and trained by taking the overall pedestrian flow and delay of the arterial traffic as targets, management and control basis is provided for road traffic managers, and the target of overall optimization of the arterial traffic is achieved. In order to improve the urban road traffic service level, the green wave coordination control method of the ring road intersection is provided based on the multi-agent thought, and simulation verification is carried out.
本申请属于道路交通信号控制技术领域,尤其是涉及一种基于多智能体的区域道路交通信号控制优化方法,包括S1:猎取交通干线交叉口信息和多模式交通流量模式;S2:对干线中的每个交叉口生成一个信号把握智能体。本发明中,仿真建模多模式交通干线与流量生成,训练输出多模式交通干线各交叉口的智能体;将每个交叉口的多模式交通信号把握设计为一个智能体,同时综合考虑交通干线各交叉口的协作,以干线整体的人流量和延误为目标优化训练交通信号把握智能体,为道路交通管理者供应管控依据,实现交通干线整体最优的目标,以提升城市道路交通服务水平,基于多智能体的思想,提出环道交叉口的绿波协调控制方法,并进行仿真验证。
Regional road traffic signal control optimization method based on multiple agents
一种基于多智能体的区域道路交通信号控制优化方法
2022-12-02
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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