The effect of image recognition traffic prediction method under deep learning and naive Bayes algorithm on freeway traffic safety

作者：

Highlights：

• The long-short-time memory model is proposed to predict the freeway safety.

• The naive Bayes algorithm is used in image recognition processing.

• The LSTM traffic flow prediction model can realize the safety prediction.

摘要

•The long-short-time memory model is proposed to predict the freeway safety.•The naive Bayes algorithm is used in image recognition processing.•The LSTM traffic flow prediction model can realize the safety prediction.

论文关键词：Deep learning,LSTM,Naive Bayes,Traffic flow prediction,Image processing

论文评审过程：Received 12 March 2020, Revised 23 May 2020, Accepted 24 June 2020, Available online 30 June 2020, Version of Record 21 August 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.103971