Analysis of factors contributing to severity of AV crashes at intersections: Insights from the Autonomous Vehicle Operation Incident Dataset Across The Globe (AVOID)
This study reveals the main factors influencing the severity of collisions in autonomous vehicles and the combination of the following factors that may increase the severity of injuries: autonomous driving mode, lane changing, turning or crossing scenarios, and high-speed driving. The results advance the understanding of autonomous vehicle safety and offer potential implications for enhancing self-driving systems.
Authors
- Yunchao Zhang (ORCID: https://orcid.org/0000-0002-1084-9994)
- Fei Yi (ORCID: https://orcid.org/0000-0002-4377-6285)
- Rui Guo (ORCID: https://orcid.org/0000-0003-1868-8010)
- Yanyan Chen (ORCID: https://orcid.org/0000-0002-7068-4669)
Institutions
- Beijing University of Technology (CN)
- Sino Biological (China) (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1080/15389588.2025.2520006
- Citations
- 1
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 1.30