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 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。
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