SAGACIA 算法改进及其不对称交通信号配时优化

针对城市交叉路口交通流量不对称，对称的信号配时易发生交通流量大的方向发生拥堵的情况，采用借相位放行方式设置交叉口的不对称相位，以交叉口车辆平均延误最小为控制目标，应用改进SAGACIA 算法对各相位绿灯时间和周期时长进行优化。根据获得的交叉口交通流数据，通过Matlab编程仿真。仿真结果表明，改进SAGACIA算法能够有效降低车辆平均延误，并与遗传算法进行了对比，SAGACIA算法改进后具有更好的搜索能力和搜索精度，有助于获得较优绿时配时方案。

Improved SAGACIA Algorithm and Dissymmetry Traffic Signal Timing Optimiz ation

Aiming at the asymmetric traffic flow of urban intersection ,the traffic jams appear easily in the direction of heavy traffic when symmetrical signal timing is used .The asymmetric phase of intersection is used by lap phrase .The aver-age vehicle delay is adopted as the control objective .The phase green times and cycle time are the control variables ,which are optimized through improved SAGACIA algorithm .According to the traffic flow data of a practical intersection ,the simula-tion is executed with Matlab .The simulation results show that SAGACIA algorithm can reduce the average vehicle delay ef-fectively compared with genetic algorithm and Webster .SAGACIA algorithm has better search capability and search accura-cy ,which is helpful to achieve superior green timing plan .