자율주행자동차 도입으로 인한 교통 네트워크 용량증대 효과 분석
Assessing Benefits of Autonomous Vehicle System Implementation through the Network Capacity Analysis
0
조회
0
다운로드
8
인용
0
참고문헌
키워드
초록
최근 들어 자율주행자동차의 기술발전 및 실제 운행사례에 대한 관심도가 높아지며 국내외에서 주요한 이슈가 되고 있다. 자율주행자동차 보급에 따라 미래 상황에 대한 다양한 기대 효과와 관련된 연구사례가 발표되고 있으나, 개념적 접근이 주를 이룬다. 특히 우리나라 자료에 근거한 실증적인 분석은 아직 미흡한 실정이다. 본 논문에서는 교통수요 측면에서 다양한 선행연구 사례를 분석하고, 기존 연구결과를 바탕으로 교통 계획적 관점에서의 통행수요 변화 등을 예측하여 이에 대한 정책적 시사점 등을 제시하였다. 그 주요결과로 자율주행자동차 보급 비율 증가에 따른 사고비용 절감편익의 증대, 도로혼잡의 개선효과 등을 정량적으로 분석하였다. 또한 비용 효과적 측면에서 서울 광역권과 같이 혼잡한 지역에서 그 효과가 더 크다는 점도 확인하였다. 이처럼 직관적으로 예상 가능한 효과에 대해 수치적 근거를 제시하였다는 점에서 본 논문의 의의가 있다. 이러한 다양한 근거를 활용하여 향후 자율주행자동차 관련 장기적인 정책 수립에 참고자료로 활용될 수 있을 것으로 기대한다.
Abstract
The issues regarding technological development and real-world driving of autonomous vehicles become heated recently at home and abroad. There is a variety of published research on how vehicle automation impacts on our future society. Most of those researches take a conceptual approach, while much less attention has been given to the empirical analysis on that matter. This study aims to conduct a literature review and to forecast changes in travel demand from a transportation planning perspective. This study quantitatively analyzes the benefit of more autonomous vehicle on the road in reducing accident costs and relieving traffic congestion. These effects are turn out to be larger in the case of congested urban areas such as Seoul Metropolitan Area in terms of cost-effectiveness. This study finds its meaning in that it provides numerical evidence of autonomous vehicle’s impacts and can be used as a reference for long-term policies with regard to autonomous vehicles.
참고문헌 (18)
- 김강수, "도로·철도 부문 사업의 예비타당성조사 표준지침 수정·보완 연구" (2008), 한국개발연구원
- "국가교통DB"[URL]
- "도로교통사고정보"[URL]
- Alessandrini, A., "Automated vehicles and the rethinking of mobility and cities", Transportation Research Procedia, 5, pp.145~160 (2015)
- Anderson, J. M., "Autonomous Vehicle Technology: A guide for policymakers" (2014), RAND Corporation
- Dokic, J., "European Roadmap Smart Systems for Automated Driving" (2015), EPoSS(European Technology Platform on Smart Systems Integration)
- Fagnant, D. J., "The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios", Transportation Research Part C, 40, pp.1~13 (2014)
- Fernandez, Pedro, "Platooning with IVC-enabled autonomous vehicles: Strategies to mitigate communication delays, improve safety and traffic flow", IEEE Transactions on Intelligent Transportation Systems, 13(1), pp.91~106 (2012)
- "A State-By-State Guide To Driverless Car Regulations" (2017)[URL]
- Litman, T., "Autonomous Vehicle Implementation Predictions:Implications for Transport Planning" (2013), Victoria Transport Policy Institute
- OECD, "Urban Mobility System Upgrade: How shared self-driving cars could change city traffic" (2015), ITF and OECD
- Pinjari, A. R., "Highway Capacity Impacts of Autonomous Vehicles: An assessment" (2013), University of South Florida
- Schoettle, B., "Potential Impact of Self-Driving Vehicles on Household Vehicle Demand and Usage" (2015), The University of Michigan Transportation Research Institute
- Shladover, S., "Impacts of cooperative adaptive cruise control on freeway traffic flow", Transportation Research Record: Journal of the Transportation Research Board, 2324, pp.63~70 (2012)
- Szell, M., "Trip Sharing in the Era of Self-Driving Cars" (2015), Marron Institute Conference on Self-Driving Vehicles
- Tientrakool, P., "Highway capacity benefits from using vehicle-to-vehicle communication and sensors for collision avoidance", Vehicular Technology Conference (2011), Hiton Union Square
- Wardrop J. G., "Some theoretical aspects of road traffic research", Proceedings of the Institute of Civil Engineers Part, 1(1), pp.325~362 (1952)
- Yokota, T., "Evaluation of AHS effect on mean speed by static method", Fifth World Congress on Intelligent Transport Systems (1998), ITS World Congress