Quantifying perceived risk in driving: A Monte Carlo approach for obstacle avoidance
The research offers a framework for traffic professionals to understand driver-perceived risk and decision-making mechanisms. This understanding is beneficial for improving traffic safety and highlights the importance of considering drivers' risk perceptions in modeling driving behavior.
Authors
- Zhen Yang (ORCID: https://orcid.org/0000-0001-6308-9362)
- Yu Qin (ORCID: https://orcid.org/0000-0002-8973-8540)
- Zhe Gong (ORCID: https://orcid.org/0000-0002-2250-0722)
- Ruiping Zheng (ORCID: https://orcid.org/0000-0002-5415-6188)
Institutions
- Tongji University (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1080/15389588.2024.2405647
- Citations
- 1
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.20
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China