The invention discloses a traffic signal online optimization control method and system oriented to low oil consumption. A virtual scene corresponding to a real scene can be constructed; moreover, the optimization of a traffic low-oil-consumption signal control scheme is realized based on a traffic digital twin platform, and the risk and loss caused by an unreasonable signal scheme are reduced. As the online optimization of the signal control scheme takes the average fuel consumption of the vehicle as an index, the average fuel consumption of the vehicle can be obviously reduced after multiple times of learning, and meanwhile, the carbon emission is also reduced. Besides, the system learns a low-oil-consumption traffic signal optimization control scheme through interaction with the environment, the real situation is met, and the problem of greenhouse effect caused by excessive carbon emission is avoided while energy is effectively solved.

    本发明公开了一种面向低油耗的交通信号在线优化控制方法与系统,可以构建与真实场景之对应的虚拟场景;并且交通低油耗的信号控制方案优化是基于交通数字孪生平台实现的,降低了不合理的信号方案造成的风险和损失;由于信号控制方案的在线优化以车辆平均油耗为指标,通过多次学习后可较为显著的降低车辆平均油耗,同时也降低了碳排放量。另外,本发明的系统通过与环境交互学习低油耗的交通信号优化控制方案,符合真实情况,在有效解决能源的同时避免了碳排放量过大造成的温室效应问题。


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    Title :

    Traffic signal online optimization control method and system oriented to low oil consumption


    Additional title:

    面向低油耗的交通信号在线优化控制方法与系统


    Contributors:
    CHEN FENG (author)

    Publication date :

    2023-04-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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