Research on the short-term traffic flow prediction method based on BP neural networks

The coordination of control system and guidance system can solve currently urban congestion effectively, and traffic flow prediction is an important part for achieving this process. This paper establishes a short-term traffic flow predicting model of single intersection, then proves the feasibility of BP neural network being used in traffic flow prediction with several kinds of algorithms. Finally the results show that the method has very good applicability in practical engineering project.