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《Journal of Heilongjiang Institute of Technology》 2016-01
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Traffic congestion forecasting for city occupying-road based on BP neural network

LUO Laipeng;School of Sciences,East China Jiaotong University;  
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.
【CateGory Index】: U491.265;TP183
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