The Traffic Accident Prediction Based on Neural Network

The traffic accident prediction play an important role in the integrated planning and management of traffic, the reason which with much randomness about the traffic accident include some nonLinear elements, such as people, car, road, cLimate and so on. The traditional way of Linear analyses can not reveal the really situation since the noise pollution and amount of data are too Little, cause the result of prediction can not satisfactory. Because of the traditional BP network have some defects, such as local minimum, too many iterations, training too slow and so on, so choose improved LM-BP network to predict. Proposed a new way about the traffic accident prediction -- improved BP neural network, the traffic accident prediction have been analysis by the network.