The performance of the controller is evaluated by the average vehicle delay of the intersection in each period.
以每个周期内交叉口的车辆平均延误作为控制指标，来判断该控制器的控制性能。
The object of the control arithmetic is to make the traffic trunk road unblocked and the average vehicle delay time shortest.
控制算法在保证交通畅通的情况下，使车辆延误时间尽可能地短。
According to the process of vehicle coming and going at intersection, the calculation model of average vehicle delay was proposed.
根据通过交叉口的车辆停驶过程，推导出交叉口平均车辆延误计算模型。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Indicated after the experiment that, this control method to reduces average delay time of the vehicle to have the obvious control effect.
经实验表明，这种控制方法对减少车辆平均延误时间具有明显的控制效果。
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 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。
The results show that this method can effectively decrease the average delay in the intersection and is superior to a traditional vehicle actuated control method.
仿真结果表明，该方法能有效降低通行车辆在交叉口的平均延误，优于传统的感应控制方法。
The results show that this method can effectively decrease the average delay in the intersection and is superior to a traditional vehicle actuated control method.
仿真结果表明，该方法能有效降低通行车辆在交叉口的平均延误，优于传统的感应控制方法。
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