Multi-objective Optimization Method of Signal Timing for the Non-motorized Transport at Intersection

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.