城市元胞路网下自组织控制规则参数的整定

Tuning for parameters of self-organizing control rules based on urban cellular road network

摘要:

为解决城市信号自组织控制中,由相邻路口间各自最优通行效率冲突造成的路口群整体通行效率难以继续提升的问题,提出一种城市元胞路网下自组织控制规则参数的整定方法. 首先,利用城市路网元胞传输（CTM）模型模拟路网交通流动态状态信息；然后,基于元胞路网实时信息,以选定局域路网中各路口元胞的自组织控制规则参数为设计空间；最后,建立各路口相互协调下通行量最大化的目标函数,完成各路口自组织控制规则参数的整定. 仿真结果表明:在基于城市元胞路网实时信息条件的整定方法下,不仅解决了自组织控制中相邻路口间互相制约通行效率的问题,并且有效提高了自组织单元中所有路口的通行效率. 该方法为面向复杂城市路网的实时城市交通信号自组织控制系统提供可借鉴的智能化方法与工程化理论.

Abstract:

To solve the problem that the overall traffic efficiency between adjacent intersections is difficult to be further improved due to the conflict of the optimal traffic efficiency between adjacent intersections in self-organizing control under urban traffic signals, a tuning method for parameters of self-organizing control rules under urban cellular network was proposed. First, the urban road network cell transmission model (CTM) was adopted to simulate the dynamic state information of the traffic flow on the road network. Then, based on the real-time information from CTM, the self-organizing control rule parameters of each intersection cell in the selected local road network were obtained for design space. Lastly, with the goal of maximizing traffic volume under the coordination of each intersection, the tuning of the self-organizing control rules of each intersection was completed. Simulation results show that under real-time information conditions, the tuning method based on urban cellular road network can not only solve the problem of the restriction of the traffic efficiency between local self-organized control intersections, but also effectively improve the traffic efficiency of the self-organizing adjacent intersections. The method provides an intelligent approach and an engineering theory for real-time urban traffic signal self-organizing control system in complex urban road network.