DOI QR코드

DOI QR Code

Comparison of RSS Safety Distance for Safe Vehicle Following of Autonomous Vehicles

자율주행자동차의 안전한 차량 추종을 위한 RSS 모형의 안전거리 비교

  • Park, Sungho (Dept. of Transportation Eng., Ajou University) ;
  • Park, Sangmin (Dept. of Transportation Eng., Ajou University) ;
  • Hong, YunSeog (Connected & Automated Driving Division, Korea Automobile Testing and Research Institute) ;
  • Ryu, Seungkyu (Dept. of Transportation Eng., Ajou University) ;
  • Yun, Ilsoo (Dept. of Transportation Eng., Ajou University)
  • 박성호 (아주대학교 건설교통공학과) ;
  • 박상민 (아주대학교 건설교통공학과) ;
  • 홍윤석 (한국교통안전공단 자동차안전연구원) ;
  • 류승규 (아주대학교 교통시스템공학과) ;
  • 윤일수 (아주대학교 교통시스템공학과)
  • Received : 2018.10.18
  • Accepted : 2018.11.26
  • Published : 2018.12.31

Abstract

A mathematical model of responsibility-sensitive safety (RSS) has been proposed as a way to determine whether an autonomous driving accident has occurred. Autonomous vehicles related industry and academia have shown great interest in this model. However, this mathematical model lacks a comprehensive review on whether the model can be used to clarify responsibilities of autonomous vehicles in the event of a traffic accident. In this study, we analyzed the issues that need to be solved in order to apply the RSS model. In conclusion, there is a limit in the equation and the social acceptability of the RSS model. To use the RSS model practically, it is necessary to define the response time of the autonomous vehicle and to measure and control the reaction time value according to the appropriate technology level for each autonomous vehicle.

자율주행 과실 여부 판단 위한 방법으로 수학적인 모형인 responsibility-sensitive safety(RSS)를 제시된 이후로 자율주행 관련 산업으로부터 많은 관심을 받고 있다. 하지만, 이러한 수학적 모형이 자율주행자동차가 관련된 교통사고 발생 시 책임소재를 명확히 하는 데 활용될 수 있는 지에 대한 종합적인 검토는 부족한 실정이다. 본 연구에서는 RSS 모형의 적용성과 활용을 위해서 추가적으로 해결되어야 할 사항에 대하여 분석하였다. 결론적으로 RSS 모형을 활용하기에는 모형식 자체 및 수용성 등에 한계가 있으며, RSS 모형을 실무적으로 사용하려고 한다면 자율주행자동차의 반응시간을 정의하고, 자율주행자동차별로 적절한 기술수준에 따라서 반응시간 값을 측정하고 관리할 필요가 있는 것으로 판단된다.

Keywords

References

  1. AASHTO(2011), A Policy on Geometric Design of Highways and Streets.
  2. Ahn D. R., Shin S. G., Park K H., Choi I. S. and Lee H. K.(2018), "Functional safety concept design and verification for longitudinal driving assistance system of an autonomous vehicle," Transactions of KSAE, vol. 26, no. 2, pp.149-158. https://doi.org/10.7467/KSAE.2018.26.2.149
  3. Brackstone M. and McDonald M.(1999), "Car-following: a historical review," Transportation Research Part F: Traffic Psychology and Behaviour, vol. 2, Issue 4, pp.181-196. https://doi.org/10.1016/S1369-8478(00)00005-X
  4. Cho Y. W.(2010), "A study on algorithm for autonomous navigation of unmanned ground vehicle and its 3D graphical simulation," Journal of the Institute of Electrical and Electronic Engineers, vol. 14, no. 4, pp.324-331.
  5. Choi S. S.(2000), Development of a Car-following Model for Microscopic Simulation Model, University of Seoul.
  6. Han D. H.(1999), A Development of the Car-following Theory Using Fuzzy Variables of Roadway System, Hanyang university.
  7. Kim E. Y.(2006), Calibration Car Following Model Parameter Using DGPS Receiving Data, University of Seoul.
  8. Lefevre S., Carvalho A. and Borrelli F.(2015), "Autonomous car following: A learning-based approach," In Intelligent Vehicles Symposium, 2015 IEEE, pp.920-926.
  9. Ministry of Land, Infrastructure and Transport(2013), Explanation of regulations on the structure and facility standards of roads.
  10. Ministry of Land, Infrastructure and Transport(2018), Study on autonomous road geometry.
  11. Shalev-Shwartz S., Shammah S. and Shashua A.(2017), On a formal model of safe and scalable self-driving cars, arXiv preprint arXiv : 1708.06374.
  12. Wen-Xing Z. and Li-Dong Z.(2018), "A new car-following model for autonomous vehicles flow with mean expected velocity field," Physica A: Statistical Mechanics and its Applications, 492, pp.2154-2165. https://doi.org/10.1016/j.physa.2017.11.133
  13. Won J. and Choi J. S.(1999), Transportation Engineering, Pakyoungsa.