Lane-change risk prediction model based on traffic context and driving styles

Abstract Lane-change risk prediction models are critical for enhancing driving safety and reducing traffic accidents. However, existing studies have not sufficiently considered the effects of traffic context and driving styles on lane change risk, limiting their adaptability in complex traffic envir...

Full description

Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Yingwei Ren, Fangzheng Li, Zihe Li
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-10-01
Subjects:	Lane-change risk prediction Traffic context modeling Driving style recognition Lane-change type classification Light gradient boosting machine (LGBM)
Online Access:	https://doi.org/10.1038/s41598-025-19035-1