基于BP神经网络的入口匝道控制器的设计

Design of On-Ramp Controller Based on BP Neural Networks

入口匝道控制系统是一种复杂的非线性时变系统 ,难于用数学准确建模 ,因此用数学建模的方法实施控制难度较大 .本文中根据入口匝道控制原理分析了交通控制中需检测的交通量参数 ,并据此设计了神经网络控制器 ,并对这一控制器进行了仿真 .仿真结果显示 ,神经网络用在入口匝道控制中可取得良好的效果 .

The on ramp control system is a nonlinear, time variable and complicated system, it is not only difficult to model but also difficult to control with the module. According to the principle of the on_ramp control, the traffic parameters needed to be measured are analyzed in this paper, and then a neural network controller is put forward. The simulation shows that the controller has a good effect on the on ramp control.