Exploring the mechanism of crashes with automated vehicles using statistical modeling approaches
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DOI: 10.1371/journal.pone.0214550
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Cited by:
- Mohamed Abdel-Aty & Shengxuan Ding, 2024. "A matched case-control analysis of autonomous vs human-driven vehicle accidents," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Ondrej STOPKA & Mária STOPKOVÁ & Vladimír ĽUPTÁK & Srećko KRILE, 2020. "Application Of The Chosen Multi-Criteria Decision-Making Methods To Identify The Autonomous Train System Supplier," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 15(2), pages 45-57, June.
- Nordhoff, Sina & Stapel, Jork & van Arem, Bart & Happee, Riender, 2020. "Passenger opinions of the perceived safety and interaction with automated shuttles: A test ride study with ‘hidden’ safety steward," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 508-524.
- Gholamreza Shiran & Reza Imaninasab & Razieh Khayamim, 2021. "Crash Severity Analysis of Highways Based on Multinomial Logistic Regression Model, Decision Tree Techniques, and Artificial Neural Network: A Modeling Comparison," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
- Wang, Song & Li, Zhixia & Wang, Yi & Aaron Wyatt, Daniel, 2022. "How do age and gender influence the acceptance of automated vehicles? – Revealing the hidden mediating effects from the built environment and personal factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 376-394.
- Vinícius Antonio Battagello & Nei Yoshihiro Soma & Rubens Junqueira Magalhães Afonso, 2020. "Computational load reduction of the agent guidance problem using Mixed Integer Programming," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-45, June.
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