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자율주행자동차의 윤리적 선택에 따른 교통사고비용 분석

An Analysis of Accident Costs according to Ethical Choice of Autonomous Vehicles

  • 정승원 (홍익대학교 과학기술연구소) ;
  • 황기연 (홍익대학교 도시공학과, 첨단교통연구 센터)
  • 투고 : 2018.10.04
  • 심사 : 2018.11.09
  • 발행 : 2018.12.31

초록

자율주행자동차로 인해 기존의 교통사고 원인의 대부분을 차지하는 '운전자부주의'로 인한 교통사고가 크게 감소할 수 있지만, '트롤리 딜레마', 차량 결함, 도로 함몰 등과 같은 사고를 피할 수 없는 상황이 발생할 수 있다. 이 경우 사람과 같은 윤리적 선택이 필요해진다. 본 연구는 돌발적인 싱크홀이 발생하여 자율주행차가 교통사고를 피할 수 없는 상황을 가정하고, 자율주행자동차의 윤리적 선택에 따른 교통사고비용을 시뮬레이션 분석을 통해 추정하였다. 이 때 자율주행자동차는 (1) 탑승자의 안전을 최우선으로 하는 이기주의, (2) 인명피해를 최소화하는 의무론, (3) 사고비용을 최소화하는 공리주의의 3가지 윤리적 선택 중 한 가지를 선택하도록 하였다. 분석결과, 이기주의의 교통사고비용이 가장 높게 분석되었고, 인명피해를 최우선으로 하는 의무론의 교통사고비용이 가장 낮게 분석되었다.

Autonomous vehicles can significantly reduce accidents due to 'driver's carelessness', which occupies the majority of causes for traffic accidents, but they may fail to avoid traffic accidents due to unexpected situations, such as "trolley dilemma", vehicle defects and road defects. Therefore in situations Autonomous vehicles need to be made ethical choices. This study assumes that Autonomous vehicles can not avoid traffic accidents due to unexpected sink holes. In this situation, the traffic accident costs was analyzed for the ethical choices of Autonomous vehicles. In the process, Autonomous vehicles were made to choose one of three ethical choices : (1) Egoism with priority on passenger safety, (2) Deontology for minimizing human damages, (3) Utilitarianism with minimizing traffic accident costs. As a result of the analysis, egoism had the highest traffic accident costs, and deontology for minimizing human damages had the lowest traffic accident costs.

키워드

참고문헌

  1. Applin S.(2017), "Autonomous Vehicle Ethics: Stock or custom?," IEEE Consumer Electronics Magazine, vol. 6, no. 3, pp.108-110. https://doi.org/10.1109/MCE.2017.2684917
  2. Broen N. L. and Chiang D. P.(1996), "Braking response times for 100 drivers in the avoidance of an unexpected obstacle as measured in a driving simulator," Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 40, no. 18, pp.900-904.
  3. Fambro D., Koppa R., Picha D. and Fitzpatrick K.(1998), "Driver perception-brake response in stopping sight distance situations," Transportation Research Record: Journal of the Transportation Research Board, vol. 1628, pp.1-7. https://doi.org/10.3141/1628-01
  4. Goodall N. J.(2014), "Ethical Decision Making during Automated Vehicle Crashes," Transportation Research Record: Journal of the Transportation Research Board, vol. 2424, no. 1, pp.58-65. https://doi.org/10.3141/2424-07
  5. Green M.(2000), "How long does it take to stop? Methodological analysis of driver perception-brake times," Transportation Human Factors, vol. 2, no. 3, pp.195-216. https://doi.org/10.1207/STHF0203_1
  6. Gurney J. K.(2016), "Crashing into th Unknown: An Examination of Crash-Optimization Algorithms Through the Two Lanes of Ethics and law," Albany Law Review, pp.183-267.
  7. Jenness J. W., Lerner N. D., Mazor S., Osberg J. S. and Tefft B. C.(2008), "Use of advanced in-vehicle technology by young and older early adopters," Survey Results on Adaptive Cruise Control Systems, Report No. DOT HS, 810, 917.
  8. Johansson G. and Rumar K.(1971), "Drivers' brake reaction times," Human factors, vol. 13, no. 1, pp.23-27. https://doi.org/10.1177/001872087101300104
  9. Jung S. W., Moon Y. J. and Hwang K. Y.(2018), "An Analysis of the Traffic Speed Due to Jerk on Automated Vehicles," Journal of Transport Research, vol. 16, no. 6, pp.244-257.
  10. Jung S. W., Moon Y. J., Lee S. Y. and Hwang K. Y.(2017), "Impacts of Automated Vehicles on Traffic Flow Changes," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 16, no. 6, pp.244-257. https://doi.org/10.12815/kits.2017.16.6.244
  11. Kesting A., Treiber M, Schonhof M. and Helbing D.(2008), "Adaptive cruise control design for active congestion avoidance," Transportation Research Part C, vol. 16, no. 6, pp.668-683. https://doi.org/10.1016/j.trc.2007.12.004
  12. Kesting A., Treiber M. and Helbing D.(2007), "General lane-changing model MOBIL for car-following models," Transportation Research Record: Journal of the Transportation Research Board, vol. 1997, no. 1, pp.86-94.
  13. Lee C. K.(2016), "Autonomous Vehicles : Ethical and legal issues as a robot," Planing and Policy, vol. 416, pp.38-43.
  14. Lee S. B., Han D. H. and Lee Y. I.(2015), "Development of Freeway Traffic Incident Clearance Time Prediction Model by Accident Level," Journal of Korean Society of Transportation, vol. 33, no. 5, pp.497-507. https://doi.org/10.7470/jkst.2015.33.5.497
  15. Lin P., Abney K. and Bekey G. A.(2015), "Robot Ethics: The Ethical and Social Implications of Robotics," Ethical Theory & Moral Practice, vol. 19, no. 2, pp.547-548.
  16. Olson P. L. and Sivak M.(1986), "Perception-response time to unexpected roadway hazards," Human Factors, vol. 28, no. 1, pp.91-96. https://doi.org/10.1177/001872088602800110
  17. Park I. S., Lee J. D., Lee J. Y. and Hwang K. Y.(2015), "Impacts of Automated Vehicles on Freeway Traffic-flow-Focused on Seoul-Singal Basic Sections of GyeongBu Freeway," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 14, no. 6, pp.21-36. https://doi.org/10.12815/kits.2015.14.6.021
  18. Shim J. I., Yu J. B., Park J. S. and Sim G. R.(2016), Estimation of Transport Accident Costs in 2013, The Korea Transport Institute.
  19. Van Arem B., Van Driel C. J. and Visser R.(2006), "The impact of cooperative adaptive cruise control on traffic-flow characteristics," IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 4, pp.429-436. https://doi.org/10.1109/TITS.2006.884615
  20. Vander Werf J., Shladover S., Miller M. and Kourjanskaia N.(2002), "Effects of adaptive cruise control systems on highway traffic flow capacity," Transportation Research Record: Journal of the Transportation Research Board, vol. 1800, pp.78-84. https://doi.org/10.3141/1800-10