Traffic accident prediction method based on PCA and BP neural network

Abstract

The present invention discloses a traffic accident prediction method based on the PCA and the BP neural network. The method comprises the following steps: constructing a traffic accident prediction model based on the PCA and the BP neural network, introducing a traffic accident data set in the vehicle network into the model, and selecting the feature vector of the traffic accident data set by using the model; performing decorrelation processing on the feature vector by using the PCA to obtain a preset number of linearly independent features in the feature vector; inputting the linearly independent features into the BP neural network for training, and obtaining new independent features for determining whether a traffic accident will occur; and inputting real-time traffic data, and predicting whether the traffic accident will occur according to the new independent features by using the prediction model. According to the traffic accident prediction method based on the PCA and the BP neural network provided by the present invention, accuracy rate for traffic accident prediction is higher, and the occurrence of traffic accidents can be effectively prevented.

Description

technical field [0001] The present invention relates to the technical field of image processing, relates to an image classification method, in particular to a traffic accident prediction method based on PCA (Principle Component Analysis) and BP (Background Propagation) neural network. Background technique [0002] my country's traffic road construction is in a period of vigorous development, but the rapid development of traffic roads, while bringing people the efficient and fast modern traffic, has also led to the occurrence of many traffic accidents. With the improvement of the theoretical knowledge of the Internet of Vehicles, vehicles There will be information transmission capabilities between vehicles, between vehicles and base stations, and between vehicles and pedestrians, which enables all communication units in the Internet of Vehicles to share their motion information. With the development of machine learning technology in the era of big data, as long as there are a ...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the problem that the accuracy of traffic accident prediction in the prior art is not high enough, and a kind of traffic accident prediction method based on PCA and BP neural network is provided, and the specific technical scheme is as follows:

Images