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Safety Verification of Driving Resource Occupancy Rules Based on Functional Language

Author

Listed:
  • Zhixi Hu

    (Academic Affairs Office, Changzhou Institute of Technology, Changzhou 213032, China)

  • Yi Zhu

    (School of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, China
    Key Laboratory of Safety-Critical Software, Nanjing University of Aeronautics and Astronautics, Ministry of Industry and Information Technology, Nanjing 211106, China)

  • Xiaoying Chen

    (School of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, China)

  • Yu Zhao

    (School of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, China)

Abstract

Autonomous driving is a safety-critical system, and the occupancy of its environmental resources affects the safety of autonomous driving. In view of the lack of safety verification of environmental resource occupation rules in autonomous driving, this paper proposes a verification method of automatic driving model based on functional language through CSP M . Firstly, the modeling and verification framework of an autopilot model based on CSP M is given. Secondly, the process algebra definition of CSP M is given. Thirdly, the typical single loop environment model in automatic driving is abstracted, and the mapping method from automatic driving model to CSP is described in detail for the automatic driving environment and the typical collision, overtaking, lane change and other scenes involved. Finally, the autopilot model of the single loop is mapped to CSP M , and the application effect of this method is discussed by using FDR tool. Experiments show that this method can verify the safety of autonomous driving resources, thereby improving the reliability of the autonomous driving model.

Suggested Citation

  • Zhixi Hu & Yi Zhu & Xiaoying Chen & Yu Zhao, 2022. "Safety Verification of Driving Resource Occupancy Rules Based on Functional Language," Future Internet, MDPI, vol. 14(2), pages 1-15, February.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:2:p:60-:d:751594
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    References listed on IDEAS

    as
    1. Jingjing Hao & Guangsheng Han, 2020. "On the Modeling of Automotive Security: A Survey of Methods and Perspectives," Future Internet, MDPI, vol. 12(11), pages 1-17, November.
    2. Lingli Yu & Decheng Kong & Xiaoxin Yan, 2018. "A Driving Behavior Planning and Trajectory Generation Method for Autonomous Electric Bus," Future Internet, MDPI, vol. 10(6), pages 1-14, June.
    3. Stewart, Danielle & Liu, Jing (Janet) & Cofer, Darren & Heimdahl, Mats & Whalen, Michael W. & Peterson, Michael, 2021. "AADL-Based safety analysis using formal methods applied to aircraft digital systems," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    4. Youngjoon Yoon & Hyogon Kim, 2021. "Resolving Persistent Packet Collisions through Broadcast Feedback in Cellular V2X Communication," Future Internet, MDPI, vol. 13(8), pages 1-21, August.
    5. Kamran Zaidi & Muttukrishnan Rajarajan, 2015. "Vehicular Internet: Security & Privacy Challenges and Opportunities," Future Internet, MDPI, vol. 7(3), pages 1-19, July.
    Full references (including those not matched with items on IDEAS)

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