关键词: 智能交通, 协同优化, 整数线性规划, 公交优先, 重复放行, 绿波带宽

Abstract: To address the conflict between bus priority and the traffic efficiency of general vehicles, while also considering the green wave effect, this paper proposes a bus and general vehicle collaborative green band optimization model based on intersection repeated release. By introducing a repeated release mechanism at the intersection, dynamic collaborative optimization between buses and general vehicles at the same intersection is achieved. The model first defines the concept of a "green wave pair" and proposes an optimization method aimed at maximizing the weighted sum of the green bandwidth, with consideration of the different vehicle types' needs and the stop-and-go problem in the front and rear segments of the green wave. During the optimization process, factors such as signal phase differences, whether repeated passage occurs, and signal cycle time are considered, and pedestrian crossing and green wave constraints are established. To validate the effectiveness of the proposed model, this paper uses Zhongshan Road in Zhenjiang as a case study and conducts a simulation analysis using VISSIM software. The results show that compared to the Multiband and overall trunk bus green band optimization control methods, the proposed model effectively reduces the average delay time and the number of stops for general through and left-turn vehicles and buses by 30%~34%, and optimizes the green bandwidth by 32%~40%.

Key words: intelligent transportation, collaborative optimization, integer linear programming, bus priority, repeat release, green wave bandwidth