Vehicle trajectory-based prediction of traffic conflicts on sharp horizontal curves

The research outcomes provide intelligent decision support for geometric optimization design of sharp curve sections and establish a reliable theoretical foundation for developing real-time dynamic risk warning systems. This work holds significant practical value for advancing the transformation of intelligent transportation management systems toward data-driven paradigms.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-10-17
DOI
https://doi.org/10.1080/15389588.2025.2566188
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
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article

Vehicle trajectory-based prediction of traffic conflicts on sharp horizontal curves

Xiaofei Zhang, Hao Li
Traffic Injury Prevention
Traffic Prediction and Management Techniques
article

Vehicle trajectory-based prediction of traffic conflicts on sharp horizontal curves

Xiaofei Zhang, Hao Li
article en

Abstract

The research outcomes provide intelligent decision support for geometric optimization design of sharp curve sections and establish a reliable theoretical foundation for developing real-time dynamic risk warning systems. This work holds significant practical value for advancing the transformation of intelligent transportation management systems toward data-driven paradigms.

Traffic Injury Prevention
Hubei University of Technology (CN)
Openalex Percentile: Top 68%
Traffic Prediction and Management Techniques
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