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中文摘要：
目前的交通灯时间多数都采用静态配时策略，无论是车流高峰还是低谷，红绿灯时间及间隔都是固定不变的，显然地，在这样的配时策略导向下，车流辆多时不能合理发挥交通导向作用,车流辆少时不但不能提高车辆的通行效率反而造成不必要的延误，针对这一问题，本文采用多指标控制方式，采集一个路段多个交叉口车流密度，延误时间，平均车速等多个不同交通流量指标的实时数据，提出一个基于自适应遗传算法的动态配时策略。仿真结果证明了该算法可有效地降低车辆平均延误时间。
英文摘要：
Most of the current traffic signal time is set by the static or non-dynamic timing plan in advance,whether the traffic peak or trough,red and green light time and intervals are fixed,obviously,preset signal control strategy is not applicable in the case of traffic peak,on the contrary,it would not only decrease the traffic efficiency of vehicles but also increase the vehicles average delay in that case of trough. To solve this problem,adopt the multiple indicators control strategy,gather real-time data of different traffic flow indicators on a road,including traffic flow density,delay,vehicle average speed etc. Then propose a dynamic timing plan based on the self-adaptive ge-netic algorithm. The simulation results show that this plan can decrease the vehicle average delay efficiently.
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