The goal of this control strategy is to achieve the zero stop of the up-run or down-run vehicles in the trunk and make the vehicle average delay time shortest.
控制的目标是使进入干线上行和下行的车辆一路绿灯，明显降低车辆停车率和平均延误时间。
The results indicates the algorithm can effectively reduce the average delay time of vehicles in the intersection, Correspondingly enhance the passing capacity of the intersection.
仿真结果表明蚁群算法与模糊控制相结合的智能控制技术，更有效地降低通行车辆在交叉口的平均延误时间，更能适应复杂多变的交通环境。
The results show that the presented model can be used to evaluate the average delay in vehicle motion when the flow of left turning vehicles is relatively large.
在非饱和状态下，当左转交通量比较大时，此模型可以较好地计算车辆的平均延误。
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