A method for considering road curvature’s impact on aggressive turning

Addressing the current issue of not considering the influence of road geometry in the recognition of aggressive turning, a dangerous driving behavior, this paper proposes a method to eliminate the impact of road curvature on the recognition of aggressive turning based on On-Board Diagnostics (OBD) trajectory data and high-precision electronic map data. The method is validated using Jinan City as the study area. The results show that the proposed method effectively removes the influence of road curvature on the recognition of aggressive turning (left or right turns), reduces misjudgments of dangerous driving behaviors of drivers, and enhances the accuracy of identifying drivers' aggressive turning hazardous behaviors.

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Publication Details

Journal
PLoS ONE
Published
2025-12-05
DOI
https://doi.org/10.1371/journal.pone.0338134
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

A method for considering road curvature’s impact on aggressive turning

Haixia Feng, Xiaofeng Fan, Minglong Guo, Zhongke Feng et al.
PLoS ONE
Traffic and Road Safety
article

A method for considering road curvature’s impact on aggressive turning

Haixia Feng, Xiaofeng Fan, Minglong Guo, Zhongke Feng, Qi Li, Kai Liu, Xu Zhong
article en

Abstract

Addressing the current issue of not considering the influence of road geometry in the recognition of aggressive turning, a dangerous driving behavior, this paper proposes a method to eliminate the impact of road curvature on the recognition of aggressive turning based on On-Board Diagnostics (OBD) trajectory data and high-precision electronic map data. The method is validated using Jinan City as the study area. The results show that the proposed method effectively removes the influence of road curvature on the recognition of aggressive turning (left or right turns), reduces misjudgments of dangerous driving behaviors of drivers, and enhances the accuracy of identifying drivers' aggressive turning hazardous behaviors.

PLoS ONEVol. 20(12)
Beijing Forestry University (CN), Shandong Jiaotong University (CN)
Openalex Percentile: Top 54%
Traffic and Road Safety
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