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.
Authors
- Xiaofei Zhang (ORCID: https://orcid.org/0000-0002-9597-0063)
- Hao Li (ORCID: https://orcid.org/0000-0003-3478-2218)
Institutions
- Hubei University of Technology (CN)
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
- 0.00