Unveiling Driving Risks and Geometric Parameter Relationships in Urban Underground Road Curves: A Real Vehicle Experiment
To clarify the operational characteristics and driving risks of urban underground road curves, a real vehicle driving experiment involving 20 subjects was conducted at the Jiefangbei Underground Ring Road in Chongqing. High-precision instruments were utilized to collect driving data, including vehicle speed, lateral acceleration, and longitudinal acceleration. Significance tests were performed on lateral acceleration, longitudinal acceleration, entering curve deceleration, and exiting curve acceleration. The driver behavior risk at curves was evaluated using G-G diagrams, and the distribution characteristics of curve danger points were determined. Subsequently, models were established for the relationships between lateral acceleration, entering curve deceleration, exiting curve acceleration, and curve geometric parameters. The results show that: (1) significant differences exist in lateral and longitudinal acceleration under different radius ranges; (2) the sections with the highest curve danger levels in urban underground road curves primarily concentrate within the circular curve sections of curves; (3) the number of driving risk points per unit length (m) is not correlated with curve type, but significantly related to curve radius range; (4) the relationship models between entering curve deceleration, exiting curve acceleration, and curve parameters are upward-opening quadratic functions, whereas the relationship model between lateral acceleration and curve parameters comprises two quadratic functions with different orientations.
Authors
- Jin Xu (ORCID: https://orcid.org/0000-0002-6522-6989)
- Zhenke Wang
- Yuxuan Xu (ORCID: https://orcid.org/0000-0002-7961-5096)
- Zhanji Zheng (ORCID: https://orcid.org/0000-0003-0756-395X)
- Heshan Zhang (ORCID: https://orcid.org/0000-0002-2894-9512)
- J. S. Rao
Institutions
- Chongqing Jiaotong University (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3390/app15073646
- Citations
- 1
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation