【摘要】 城市平面交叉路口信号的优化控制模型基于直行两相位,用三层BP人工神经网络对交叉路口车辆到达进行预测。并根据交通流饱和度理论,采用模糊控制器对路口各方向绿灯时间进行调整的控制模型。该模型用Matlab6.1编程进行仿真实验,结果表明可以提高交叉路口通行能力,减少车辆延误。更多还原

【Abstract】 The straightforward move two phases were applied in control model of traffic signal optimization for city grade crossing, and the quantity of vehicle that will arrive at intersection is forecasted with three layers BP manual neural network. The time of green light in all directs of intersection is adjusted by fuzzy controller according to the theory of traffic flow saturation. The model was programmed and simulated with Matlab 6.1. The result shows that the controlling model can improve the traffic capability of grade crossing and decrease the delay time of vehicle.更多还原