Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology

Author:

Liu Qian,Wang Xuesong,Wu Xiangbin,Glaser Yi,He Linjia

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference52 articles.

1. Alambeigi, H., Mcdonald, A.D., Tankasala, S.R., 2020. Crash themes in automated vehicles: A topic modeling analysis of the California Department of Motor Vehicles automated vehicle crash database. arXiv: Applications.

2. American Association of State Highway and Transportation Officials (AASHTO). A Policy on Geometric Design of Highways and Streets. Washington, D. C., 2011.

3. American Association of State Highway and Transportation Officials (AASHTO). A Policy on Geometric Design of Highways and Streets. Washington, D. C., 2018.

4. Boggs, A.M., Khattak, A.J., Wali, B., 2019. Analyzing automated vehicle crashes in California: Application of a bayesian binary logit model. In: Proceedings of the 98th Annual Meeting of the Transportation Research Board, Washington, D. C., USA.

5. Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical bayesian heterogeneity-based approach;Boggs;Accid. Anal. Prev.,2020

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