Optimization Model of Signal Timing at Isolated Intersections Based on Stochastic Chance Constrained Programing

摘要

Most optimization models of signal timing at isolated intersections delay formulas are designed using transient delay model or fixed number theory delay model. According to the random characteristic that arrival rate from each entrance lane at the intersection for stochastic, targeting at the minimum gap between green time of each phase and the actual needs of green time, a stochastic chance constrained programing model of signal timing at isolated intersections is proposed. A new algorithm for stochastic chance constrained programing, which uses a two-phase signalized intersection as the simulation example, is presented using a combination of random simulation and particle swarm optimization. The results show that the random variation of arrival rate has an obvious effect on the parameter setting of intersection signal timing, which illustrates the correctness of the model and the algorithm.