粒子群最適化を利用した道路ネットワークの系統信号制御のシミュレーション評価手法

抄録

The coordination of signal programs at adjacent intersections is a multivariate optimization problem with many constraints. To assess the quality of optimization procedures, the impact of different performance measures, and the effect of the quality of the input data, a methodology has been developed to compare different offline optimization strategies using complete information of the traffic flow. The complete information is obtained by using a traffic flow simulation. To have a benchmark for a given optimization function, the best possible coordination for given conditions is computed using Particle Swarm Optimization (PSO). Different strategies can then be compared to this benchmark.