Enhanced Clustering and Comprehensive Scoring Based Driver Behavior Safety Assessment Method

2023-01-7069

12/20/2023

Features
Event
SAE 2023 Intelligent and Connected Vehicles Symposium
Authors Abstract
Content
Most traffic accidents are caused by the driving behavior of drivers, so the study of driving behavior plays an important role in traffic safety. In this paper, we propose a comprehensive system for evaluating driver driving behavior safety, including classification and prediction of driver driving styles, as well as comprehensive scoring of driving behaviors. The driving behavior dataset needs to be pre-processed first. After that, we extracted driving behaviors and indicators, and performed cluster analysis on the reconstructed data to obtain three styles: conservative, aggressive, and impatient. We introduced a BP neural network to predict driving styles and obtained a relatively high prediction accuracy. Finally, we calculated the combined subjective and objective weights of the five behaviors and combined them with the developed scoring function to evaluate the driving safety of all drivers with a comprehensive score. The result was the selection of three driving behaviors that need priority attention and training.
Meta TagsDetails
DOI
https://doi.org/10.4271/2023-01-7069
Pages
11
Citation
Sun, B., Zhan, Z., Mao, Q., Wen, L. et al., "Enhanced Clustering and Comprehensive Scoring Based Driver Behavior Safety Assessment Method," SAE Technical Paper 2023-01-7069, 2023, https://doi.org/10.4271/2023-01-7069.
Additional Details
Publisher
Published
Dec 20, 2023
Product Code
2023-01-7069
Content Type
Technical Paper
Language
English