基于BP神经网络的路口短时交通流量预测方法

A BP NEURAL NETWORK METHOD FOR SHORT-TERM TRAFFIC FLOW FORECASTING ON CROSSROADS

交叉路口是一个城市交通的重要组成部分,其各方向的交通流量预测更是该城市智能交通系统中的重中之重,本文提出一种基于BP神经网络预测路口短时交通流量的方法,该方法将路口其他非预测方向和交通信号配时方案对流量预测的影响因素考虑在内。

Crossroads are important part of urban traffic system, whose flow prediction on each direction is one of the most extraordinary key functions in the urban ITS（ Intelligent Transportation System）. We represent a BP neural network method for short-term traffic flow forecasting on crossroads,which take the influence from the other non-predicted directions and signal timing scheme into account.