Design on Optimization of Phase for Urban Traffic Coordinated Control

摘要

The optimization of signal cycle and green ratio for intersection of coordinated control can improve the traffic performance, but it is difficult to obtain the best two-way bandwidth in the smaller space of solution which can be approximated optimization, in order to reduce more the vehicle delay at intersection, the space of optimal solution is expanded by adjusting phase, based on multi-population genetic algorithm, the scheme of phase optimized design was proposed. According to the principle of vehicles reach steadily, the vehicle delay model was established. The minimum of vehicle average delay was regarded as the evaluation index for coordinated control of benefit and the multi-population genetic algorithm was used to implement the automatic optimization of the phase, which is simulated and verified by VISSIM. The result shows that the method of phase optimized design can reduce the average vehicles delay by 5% and reduce the average number of parking by 28.9%, which can effectively improve the rapidity and effectiveness of the method of combination and traversal.