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CAV driving safety monitoring and warning via V2X-based edge computing system

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Abstract

Driving safety and accident prevention are attracting increasing global interest. Current safety monitoring systems often face challenges such as limited spatiotemporal coverage and accuracy, leading to delays in alerting drivers about potential hazards. This study explores the use of edge computing for monitoring vehicle motion and issuing accident warnings, such as lane departures and vehicle collisions. Unlike traditional systems that depend on data from single vehicles, the cooperative vehicle-infrastructure system collects data directly from connected and automated vehicles (CAVs) via vehicle-to-everything communication. This approach facilitates a comprehensive assessment of each vehicle’s risk. We propose algorithms and specific data structures for evaluating accident risks associated with different CAVs. Furthermore, we examine the prerequisites for data accuracy and transmission delay to enhance the safety of CAV driving. The efficacy of this framework is validated through both simulated and real-world road tests, proving its utility in diverse driving conditions.

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Authors and Affiliations

  1. Department of Automation, Tsinghua University, Beijing, 100084, China

    Cheng Chang, Jiawei Zhang, Kunpeng Zhang, Jianming Hu & Li Li

  2. College of Electrical Engineering, Henan University of Technology, Zhengzhou, 450001, China

    Kunpeng Zhang

  3. Nebula Link Technology Co., Ltd., Beijing, 100080, China

    Yichen Zheng & Mengkai Shi

  4. Department of Civil Engineering, Tsinghua University, Beijing, 100084, China

    Shen Li

Authors
  1. Cheng Chang
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  2. Jiawei Zhang
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  3. Kunpeng Zhang
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  4. Yichen Zheng
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  5. Mengkai Shi
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  6. Jianming Hu
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  7. Shen Li
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  8. Li Li
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Correspondence to Shen Li or Li Li.

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Competing Interests The authors declare that they have no competing interests.

Additional information

This work was supported in part by the National Key Research and Development Program of China (Grant No. 2021YFB2501200).

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Chang, C., Zhang, J., Zhang, K. et al. CAV driving safety monitoring and warning via V2X-based edge computing system. Front. Eng. Manag. 11, 107–127 (2024). https://doi.org/10.1007/s42524-023-0293-x

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