【摘要】 短时交通流预测是现代智能交通系统的核心内容,针对城市道路被占所造成的城市交通拥堵排队问题,以路段视频统计为例,利用BP神经网络方法就实际通行能力、具体车辆数、事故持续时间与排队最长长度之间的关系进行预测分析,从实验模拟结果来看,该方法能有效地解决交通流实时和可靠性预测。更多还原

【Abstract】 The short-term traffic flow forecasting is the core of modern intelligent transport system.Aiming at queuing problem of city traffic congestion caused by occupying-road,and according to road video statistics,the relation of actual traffic capacity,the number of cars,traffic incident duration between queuing lengths are analyzed with BP neural network.The effectiveness of the method to solve real-time and reliable flow forecasting is shown in the experiment.更多还原