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Online legal driving behavior monitoring for self-driving vehicles

Author

Listed:
  • Wenhao Yu

    (Tsinghua University)

  • Chengxiang Zhao

    (Beijing Institute of Technology)

  • Hong Wang

    (Tsinghua University)

  • Jiaxin Liu

    (Tsinghua University)

  • Xiaohan Ma

    (Beijing Institute of Technology)

  • Yingkai Yang

    (Tsinghua University)

  • Jun Li

    (Tsinghua University)

  • Weida Wang

    (Beijing Institute of Technology)

  • Xiaosong Hu

    (Chongqing University)

  • Ding Zhao

    (Carnegie Mellon University)

Abstract

Defined traffic laws must be respected by all vehicles when driving on the road, including self-driving vehicles without human drivers. Nevertheless, the ambiguity of human-oriented traffic laws, particularly compliance thresholds, poses a significant challenge to the implementation of regulations on self-driving vehicles, especially in detecting illegal driving behaviors. To address these challenges, here we present a trigger-based hierarchical online monitor for self-assessment of driving behavior, which aims to improve the rationality and real-time performance of the monitoring results. Furthermore, the general principle to determine the ambiguous compliance threshold based on real driving behaviors is proposed, and the specific outcomes and sensitivity of the compliance threshold selection are analyzed. In this work, the effectiveness and real-time capability of the online monitor were verified using both Chinese human driving behavior datasets and real vehicle field tests, indicating the potential for implementing regulations in self-driving vehicles for online monitoring.

Suggested Citation

  • Wenhao Yu & Chengxiang Zhao & Hong Wang & Jiaxin Liu & Xiaohan Ma & Yingkai Yang & Jun Li & Weida Wang & Xiaosong Hu & Ding Zhao, 2024. "Online legal driving behavior monitoring for self-driving vehicles," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44694-5
    DOI: 10.1038/s41467-024-44694-5
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    References listed on IDEAS

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    1. Amitai Y. Bin-Nun & Patricia Derler & Noushin Mehdipour & Radboud Duintjer Tebbens, 2022. "How should autonomous vehicles drive? Policy, methodological, and social considerations for designing a driver," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    2. Shuo Feng & Xintao Yan & Haowei Sun & Yiheng Feng & Henry X. Liu, 2021. "Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
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