Abstract: Considering the coordination between vehicle and non-motorized, different traffic composition have different signal control operates at the urban road intersection. In view of the multi-objective property of urban traffic signal control, the paper presents a multi-objective signal timing optimization model with vehicle volume and the non-motorized transport number as the inputs and traveler delay, stops and traffic capacity as the optimization objectives, and saturation degree is taken as restrictions. Furthermore, the method can adjust the weight of performance indexes according to mixed traffic composition. The multi-objective model is solved by genetic algorithm. The result shows that the model can give better signal timing than Webster method on the trade-off among various objectives and improve the traffic congestion effectively under mixed traffic condition.

Key words: urban traffic, signal control intersection, signal timing parameter, multi-objective optimization model, non-motorized transport, mixed traffic composition

摘要： 城市道路交叉口各交通方式构成比例不同，对控制方案需求不一. 针对各种交通方式混行的信号控制交叉口，考虑道路使用率、出行者时间效率以及环境效益之间的协调关系，结合多目标规划模型的思想，以通行能力最大、车辆停车率及出行者平均延误最小为目标，以饱和度为约束条件，建立交叉口信号配时多目标优化模型. 根据不同交通状态下，各交通方式混合比例确定各性能指标的重要程度，最后运用遗传算法进行求解. 计算结果表明，配时参数多目标优化模型在综合性能指标下优于Webster算法，而且能较好地适应各交通状态的变化，使快、慢行交通协调运行.

关键词: 城市交通, 信号控制交叉口, 配时参数, 多目标优化模型, 慢行交通, 混合交通构成