2025-4-5- Sunday
HomeIntroductionEditorial boardContact usChinese
Home > Archive>Volume 48, Issue 12, 2020 >1810-1817. DOI:10.11908/j.issn.0253-374x.20219
PDF HTML XML Export Cite reminder
Safety Analysis and Strategy Design for Decision System of Urban Autonomous Driving Vehicles
CSTR:
[cstr]
Author:
Affiliation:

School of Automotive Studies， Tongji University， Shanghai 201804， China

Clc Number:

U461.91

  • Article
    • |
  • Figures
    • |
  • Metrics
    • |
  • Reference [10]
    • |
  • Related [20]
    • | | |
  • Comments
    Abstract:

    Based on system theory process analysis （STPA）， a safety development method for high level autonomous driving decision systems was proposed. The proposed method was applied to the prototype of an urban autonomous driving decision system. 70 Unsafe Control Actions （UCAs） for the entire system were found through safety analysis. Focusing on 3 function states of the system， 10 reasons for UCAs and 9 safety strategies were put forward. One strategy got implemented and validated through model-in-the-loop simulations. Test results show， the safety strategy is effective and the proposed method can enhance the safety of autonomous driving decision systems.

    Table 2
    Table 4
    Table 5
    Fig.1 Proposed safety development method
    Fig.2 Control structure of autonomous vehicles
    Fig.3 FSA-based process model of the decision-making system
    Fig.4 Testing Scenario of the auto-parking function
    Fig.5 Process of the accident during auto-parking
    Fig.6 FSA of the auto-parking function with AEB state
    Fig.7 Process of auto-parking with the safety strategy implemented
    Fig.8 Speed and relative distance during autoparking
    Table 3
    Table 1
    Reference
    [1] International Organization for Standardization. Road vehicles－safety of the intended functionality： ISO/PAS 21448： 2019[S]. Geneva： ISO， 2019．
    [2] QURESHI Z H. A review of accident modelling approaches for complex socio-technical systems[C/CD] // Twelfth Australian Workshop on Safety Critical Systems & Software & Safety-related Programmable Systems. Adelaide： Australian Computer Society， 2007.
    [3] MAHAJAN H S， BRADLEY T， PASRICHA S. Application of systems theoretic process analysis to a lane keeping assist system[J]. Reliability Engineering & System Safety， 2017，167：177
    [4] ABDULKHALEQ A， WAGNER S， LEVESON N. A comprehensive safety engineering approach for software-intensive systems based on STPA[J]. Procedia Engineering， 2015， 128：2.
    [5] BAGSCHIK G， STOLTE T， MAURER M. Safety analysis based on systems theory applied to an unmanned protective vehicle[J]. Procedia Engineering， 2017， 179：61.
    [6] 陈君毅， 周堂瑞， 邢星宇， 等. 基于系统理论过程分析的自动驾驶汽车安全分析方法研究[J]. 汽车技术， 2019（12）： 1.
    [7] 中国国家标准化管理委员会.道路车辆功能安全： GB/T 34590-2017 [S]. 北京： 中国标准出版社， 2017.
    [8] LEVESON N. A new accident model for engineering safer systems[J]. Safety Science， 2004， 42（4）： 237.
    [9] LEVESON N， WILKINSON C， FLEMING C， et al. A Comparison of STPA and the ARP 4761 safety assessment process[R]. Boston： MIT， 2014.
    [10] 朱辰宇. 自动驾驶园区车行为决策系统研究[D]. 上海： 同济大学， 2018.
    Cited by
Get Citation

CHEN Junyi, LIU Lihao, ZHOU Tangrui, XING Xingyu. Safety Analysis and Strategy Design for Decision System of Urban Autonomous Driving Vehicles[J].同济大学学报(自然科学版),2020,48(12):1810~1817

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 30,2020
  • Online: December 31,2020
Article QR Code

Youare the 26834 visitor to this site

Copyright:JOURNAL OF TONGJI UNIVERSITY     Director:The Ministry of Education    The host:Tongji university.

Address:上海市四平路1239号同济大学内    Postcode:200092    TEL:86-21-65982344     E-mail:zrxb@tongji.edu.cn

Supported byBeijing E-Tiller Technology Development Co.,Ltd.