Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
권호 표지
DOI QR코드

DOI QR Code

Safety Performance Evaluation Scenarios for Extraordinary Service Permission of Autonomous Vehicle

자율주행 자동차 임시운행 허가를 위한 안전 성능 평가 시나리오

  • Chae, Heungseok (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Jeong, Yonghwan (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Yi, Kyongsu (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Choi, Inseong (Autonomous Vehicle R&D Team, Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority) ;
  • Min, Kyongchan (Autonomous Vehicle R&D Team, Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority)
  • 채흥석 (서울대학교 기계항공공학부) ;
  • 정용환 (서울대학교 기계항공공학부) ;
  • 이경수 (서울대학교 기계항공공학부) ;
  • 최인성 (교통안전공단 자동차안전연구원 자율주행연구팀) ;
  • 민경찬 (교통안전공단 자동차안전연구원 자율주행연구팀)
  • Received : 2015.06.10
  • Accepted : 2016.07.11
  • Published : 2016.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

Regulation for the testing and operation of autonomous vehicles on public roadways has been recently developed all over the world. For example, the licensing standards and the evaluation technology for autonomous vehicles have been proposed in California, Nevada and EU. But specific safety evaluation scenarios for autonomous vehicles have not been proposed yet. This paper presents safety evaluation scenarios for extraordinary service permission of autonomous vehicles on highways. A total of five scenarios are selected in consideration of safety priority and real traffic situation. These scenarios are developed based on existing ADAS evaluation and simulation of autonomous vehicle algorithm. Also, Safety evaluation factors are developed based on ISO requirements, other papers and the current traffic regulations. These scenarios are investigated via computer simulation.

Keywords

References

  1. K. S. Yi, "Vehicle Dynamics Control Applications to Automobiles: Survey and Some New Trends," Journal of Institute of Control, Robotics and Systems, Vol.20, No.3, pp.298-312, 2014. https://doi.org/10.5302/J.ICROS.2014.14.9017
  2. K. Bengler, K. Dietmayer, B. Farber, M. Maurer, C. Stiller and H. Winner, "Three Decades of Driver Assistance Systems: Review and Future Perspectives," IEEE Intelligent Transportation Systems Magazine, Vol.6, No.4, pp.6-22, 2014. https://doi.org/10.1109/MITS.2014.2336271
  3. P. Ioannou, Development and Experimental Evaluation of Autonomous Vehicles for Roadway/Vehicle Cooperative Driving, UCB-ITSPRR-98-9, 1998.
  4. Adopted Regulations for Testing of Autonomous Vehicles by Manufacturers, California Department of Motor Vehicles, 2014.
  5. Autonomous Vehicle Testing License, Nevada Department of Motor Vehicles, 2013.
  6. F. Fahrenkrog, Evaluation of Automated Driving Functions, ITS Europe, 2014.
  7. ISO 15622 Intelligent Transport Systems - Adaptive Cruise Systems - Performance Requirements and Test Procedures, ISO, 2010.
  8. Euro NCAP AEB Test Protocol, Euro NCAP, 2013.
  9. ISO 11270 Intelligent Transport Systems - Lane Keeping Assistance Systems - Performance Requirements and Test Procedures, ISO, 2014.
  10. Y. H. Jeong, An Evaluation Scenario of Safety Performance for Extraordinary Service Permission of Autonomous Vehicle, KASA Spring Conference Proceedings, p.44, 2015.
  11. J. H. Bak, K. H. Lee and C. H. Lee, "Synchronous Interfusion of the Compensatory Filters Based on Multi-rate Sensors for the Control of the Autonomous Vehicle," Transactions of KSAE, Vol.22, No.3, pp.220-227, 2014. https://doi.org/10.7467/KSAE.2014.22.3.220
  12. P. Ioannou and M. Stefanovic, Evaluation of the ACC Vehicles in Mixed Traffic: Lane Change Effects and Sensitivity Analysis, UCBITS-PRR-2003-3, 2003.
  13. H. G. Kim, K. S. Oh and K. S. Yi, "Development of Speed Control Algorithm for Autonomous Vehicle," KSAE Spring Conference Proceedings, pp.709-714, 2012.
  14. D. W. Kim and K. S. Yi, "Design of a Path for Collision Avoidance and Path Tracking Scheme for Autonomous Vehicles," KSAE Spring Conference Proceedings, pp.1268-1277, 2010.
  15. J. Schindler, Autonomous Traffic-jam Clearance Using a Frugal Adaptive Cruise Control Strategy, Conference on Agent-Based Modeling in Transportation Planning and Operations, 2013.
  16. J. Y. Lee, Robust Model Predictive Control based Automated Driving Control Algorithm for Improvement of Safety and Ride Comfort, Ph. D. Dissertation, Seoul National University, Seoul, 2015.

Cited by

  1. Development of Fault Injection Simulation Environment for ADAS Systems and Case Studies of Fail-Safety Evaluation vol.25, pp.6, 2017, https://doi.org/10.7467/KSAE.2017.25.6.767