基于神经网络的城市道路交叉口车辆到达预测模型的研究

Study of the Model of Vehicles Platoon Dispersion for Urban Intersection Based on Neural Network

采用三层人工神经网络建立路口交通流车辆到达预测模型，利用BP算法对模型进行训练，并提出一种适合交通信号控制的在线学习方法。

The neural network is applied to build the forecasting model about the vehicle's arrival of the urban intersection. The model is trained with the BP algorithm and an online study method is presented.