Abstract:

Urban traffic delay usually occurs at intersections, so the improvement of operational efficiency of a signalized intersection is very important for alleviation of traffic congestion. We establish a multibenefit signal timing optimization model based on average vehicle delay, vehicle stopping times and traffic capacity of the intersection, and employ particle swarm optimization (PSO) algorithm to solve it. Analysis of actual cases demonstrates that the model reduces average vehicle delay and stopping times of an intersection, increases traffic capacity of an intersection, and comprehensively improves multiple indicators of an intersection. It therefore has significant effect on the improvement of operational efficiency of an intersection.

Key words: signal timing, particle swarm optimization, multi-benefit optimization model