Recognition of aggressive driving behavior under abnormal weather based on Convolutional Neural Network and transfer learning.

Journal: Traffic injury prevention

Published Date: Jul 24, 2024

Abstract

OBJECTIVES: Aggressive driving behavior can lead to potential traffic collision risks, and abnormal weather conditions can exacerbate this behavior. This study aims to develop recognition models for aggressive driving under various climate conditions, addressing the challenge of collecting sufficient data in abnormal weather.

Authors

Ziyu Zhang

Radiography and Medical Imaging, Monash University, Clayton, Victoria, Australia. Electronic address: zhangc.ziyu@gmail.com.
Shuyan Chen

School of Transportation, Southeast University, Nanjing, China.
Hong Yao

School of Computer Science, China University of Geosciences, Wuhan 430074, China. yaohong@cug.edu.cn.
Ghim Ping Ong

Department of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore.
Yongfeng Ma

School of Transportation, Southeast University, Nanjing, China.

Keywords

Adult Aggression Automobile Driving Computer Simulation Humans Machine Learning Male Neural Networks, Computer Weather

External Resources

View on PubMed Access via DOI PubMed (39046244)

Recognition of aggressive driving behavior under abnormal weather based on Convolutional Neural Network and transfer learning.

Abstract

Authors

Keywords

External Resources

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