Multipath Coordinated Traffic Signal Control of Road Network Based on Improved AM‐Band Model

A two‐stage multiobjective optimization model for multipath coordinated control based on the improved AM‐Band model is proposed to address issues such as multipath competition and the narrowing of the green‐wave bandwidth in the coordinated control of urban road arterial signals. In the first stage, at the intersections along the arterial road, by considering the analysis of path traffic flows and turning demands, the classical AM‐Band model is improved, and a green‐wave bandwidth maximization model for multipaths is established, aiming to meet the demands of multipath competition to the greatest extent. In the second stage, according to the signal states between upstream and downstream intersections, a reasonable speed guidance range is determined. The vehicle speeds are divided into green light guidance and red light guidance, and a delay minimization model based on optimal speed guidance is established. Furthermore, a multiobjective grasshopper optimization algorithm is used to solve the above models. Finally, four consecutive intersections along Xingguang Road in Xiqing District, Tianjin, are selected for simulation verification. The results of the relevant case studies show that, compared with the Webster scheme and the Yang‐M2 scheme, the average vehicle delay of the model in this paper is reduced by 10.75% and 6.53%, respectively, the average number of vehicle stops is reduced by 43.26% and 16.64%, respectively, and the average travel time is reduced by 10.84% and 3.69%, respectively. This indicates that the model in this study can effectively improve the traffic efficiency of the road network under multipath competition.