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June 3, 2026Transportation Research Record Journal of the Transportation Research Board

Responsibility Attribution for Autonomous Vehicle Crashes Based on Causal Inference: Case Study in California, USA

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Authors

QWQiuling WangZXZiwei XueWJWanke Jiang

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Overview

Randomized trial analyzes responsibility attribution in autonomous vehicle crashes, suggesting insights for safer driving policies.

Key Points

  • This research aims to develop a method for attributing responsibility in autonomous vehicle crashes involving multiple parties.
  • Constructed a causal network using DEMATEL and ISM to analyze crash factors.
  • Applied Random Forest to determine feature importance in AV crashes.
  • Quantified responsibility proportions among stakeholders involved in crashes.
  • Human drivers and software developers each account for 31% of crash responsibility in autonomous mode.
  • Other stakeholders contribute to 21% of crash responsibility.
  • Vehicle manufacturers are responsible for 17% of crashes.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc40fdee9eb8c0dce5abbhttps://doi.org/10.1177/03611981261438023
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