基于层级控制的宏观基本图交通信号控制模型

针对城市交通子区内部与边界交叉口的协调控制问题,提出基于分层多粒度与宏观基本图的交通信号控制模型HDMF.首先利用城市交通系统的分层多粒度特性与粗糙集理论描述交通要素的实时状态;然后结合基于背压算法的分布式交叉信号控制和交通元素的动态特性,计算交叉口相位压力并对相位进行决策;最后使用宏观基本图(MFD)实现区域驶出总流...

Macroscopic fundamental diagram traffic signal control model based on hierarchical control

Aiming at the problem of coordinated control within urban traffic sub-areas and boundary intersections, a traffic signal control model based on Hierarchical multi-granularity and Macroscopic Fundamental Diagram (HDMF) was proposed. First, the hierarchical multi-granularity characteristic of the urban traffic system and the rough set theory were used to describe the real-time states of the traffic elements. Then, combined with the distributed intersection signal control based on backpressure algorithm and the dynamic characteristics of the traffic elements, the pressures of the intersection phases were calculated and the phase decision was made. Finally, Macroscopic Fundamental Diagram (MFD) was used to achieve the maximum total flow of vehicles driving out of the area and the optimal number of vehicles in each sub-area. Experimental results showed that HDMF model had the average queue length reduced by 6.35% and 10.01% respectively, and had the average travel time reduced by 6.55% and 11.15% respectively compared with EMP (Extended cooperative Max-Pressure control) model and HGA model based on MFD and hybrid genetic simulated annealing algorithm. It can be seen that the propsed HDMF model can effectively relieve interior and boundary traffic congestions of sub-areas and maximize the traffic flow of the whole road network.