자율주행차량 도입에 따른 고속도로 교통류 영향분석 - 경부고속도로 서울-신갈 기본구간을 중심으로
Impacts of Automated Vehicles on Freeway Traffic-flow - Focused on Seoul-Singal Basic Sections of GyeongBu Freeway -
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초록
최근 활발히 개발되고 있는 자율주행차량은 현대사회의 다양한 교통문제를 해결하기 위한 근본적인 대안으로 주목받고 있으며, 그 효과를 예측하기 위한 연구 또한 지속적으로 진행되어왔다. 하지만 기존연구는 주로 가상의 도로를 대상으로 하여 현 도로교통시스템에 가져올 다양한 편익에 대한 검토는 미비한 상태이다. 이에 본 연구는 자율주행차량 테스트베드 구축 예정구간인 경부고속도로 서울-신갈 기본구간을 대상으로, 자율주행차량 도입에 따른 속도 및 밀도 등 다양한 교통류의 변화를 분석하였다. 분석 결과, 교통량이 적은 서비스수준 A, B 상황에서는 자율주행차량 혼입이 교통류에 부정적인 영향을 미치는 것으로 나타났다. 반면, 교통량이 많아지는 서비스수준 C 이상의 상황에서는 자율주행차량 도입에 따라 평균속도가 증가하고 밀도가 감소하여 교통류에 긍정적인 영향을 미치는 것으로 분석되었다. 이에 따라, 자율주행차량 도입이 교통혼잡 등 다양한 교통문제를 효과적으로 해결할 수 있을 것이라 기대된다.
Abstract
These days Automated Vehicle(AV) has been receiving attention as a fundamental solution to resolve the various transportation problems and various researches related to the benefits of AV have been done. However, previous researches mainly analyzed the effects in the virtual network. The purpose of this research is to predict and to find out the benefits by introducing the Automated Vehicle to present road traffic system. Thus, the study analyzes the traffic-flow changes of Gyeongbu freeway Seoul-Singal basic section which is planned for setting the test-bed. The results show that Automated Vehicle can have negative effects on the traffic-flow in low volume of LOS A and B. However, the average speed increases and the traffic density decreases in more than LOS C, the traffic volume increase. Therefore, the introduction of Automated Vehicle achieves positive effect on various transportation problems such as the traffic congestion.
참고문헌 (31)
- Ministry of Land, Infrastructure and Transport, "Support plan for automated vehicle commercialization", ~ (2015)
- I. B. Yang, "Trends of intelligent vehicles technology", Eloctronic Componets, 26(31) (2008)
- J. D. Moon, "Direction of technology development of MOTIE in autonomous driving vehicle", PD Issue Report, 14-12, pp.33~43 (2014), Korea Evaluation Institute of Industrial Technology
- J. VanderWerf, "Effects of adaptive cruise control systems on highway traffic flow capacity", Transportation Research Record, Journal of the Transportation Research Board, 1800, pp.78~84 (2002)
- A. Kesting, "Adaptive cruise control design for active congestion avoidance", Transportation Research Part C, 16, pp.668~683 (2008)
- J. Ma, "Evaluating mobility and sustainability benefits of cooperative adaptive cruise control using agent-based modeling approach", Systems and Information Engineering Design Symposium, pp.74~78 (2012)
- G. M. Arnaout, "A progressive deployment strategy for cooperative adaptive cruise control to improve traffic dynamics", International Journal of Automation and Computing, 11(1), pp.10~18 (2014)
- 이종덕, "행위자기반모형을 활용한 Personal Mobility와 Partial Autonomous Vehicle의 교통혼잡개선효과 분석", 교통연구, 22(1), pp.27~44 (2015), 한국교통연구원
- S. B. Chae, "Agent-based model and application", The Journal of the Korean Physical Society, pp.10~14 (2007)
- C. W. Ahn, "Trend in micro simulation technologies for population dynamics", Electronics and Telecommunications Trends, 29(4), pp.11~20 (2014)
- J. H. Yang, "Understanding and application of agent-based model : urban planning and transportation", pp.25~29 (2012), Dong-A Press
- J. H. Lee, "Application of agent-based modelling on transport systems analysis", Journal of Korea Transportation Research Society, 21(1), pp.147~156 (2003)
- A. Lansdowne, "Traffic simulation using agent-based modelling", pp.2006
- G. M. Arnaout, "An intelliDrive application for reducing traffic congestions using agent-based approach", Systems and Information Engineering Design Symposium, pp.221~224 (2010)
- 임이정, "초소형 개인교통수단(Personal Mobility)의 확산이 2차선 연속류 교통체계에 미치는 거시적 영향 분석", 교통연구, 22(3), pp.55~71 (2015), 한국교통연구원
- Ministry of Land, Infrastructure and Transport, "Korea Highway Capacity Manual", ~ (2013)
- S. E. Shladover, "Cooperative adaptive cruise control definitions and operating concepts", Transportation Research Board 94th Annual Meeting (2015)
- B. van Arem, "The impact of cooperative adaptive cruise control on traffic-flow characteristics", Intelligent Transportation Systems, 7(4), pp.429~436 (2006)
- Y. J. Moon, "Research for traffic model revision affected by ITS operation", The Korea Transport Institute, Research Series, 2013-07 (2013)
- M. Treiber, "Congested traffic states in empirical observations and microscopic simulations", Physical Review E, 62(2), pp.1805~1823 (2000)
- M. Treiber, "Traffic flow dynamics, data, models, and simulation" (2013), Springer-Verlag Berlin Heidelberg
- Ministry of Land, Infrastructure and Transport, "Road design criteria", ~ (2012)
- A. Kesting, "General lane-changing model MOBIL for car-following models", Transportation Research Record, Journal of the Transportation Research Board, 1999, pp.86~94 (2007)
- T. C. Kim, "What is good motion?", MOTOR Magazine, pp.58~63 (2006)
- N. L. Broen, "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, 40(18), pp.900~904 (1996)
- D. Fambro, "Driver perception-brake response in stopping sight distance situations", Transportation Research Record, Journal of the Transportation Research Board, 1628, pp.1~7 (1998)
- M. Green, "How long does it take to stop? methodological analysis of driver perception-brake times", Transportation human factors, 2(3), pp.195~216 (2000)
- J. H. Ju, "A study of person response time on various scenario driver simulation", Journal of Korea Transportation Research Society, 63, pp.452~457 (2010)
- M. S. Jang, "The chronological evolution of drivers's perception reaction time", Transportation Technology and Policy, 18(6), pp.55~61 (2011)
- S. B. Lee, "A study for human factors in road design", The Korea Transport Institute, Research Series, 2001-01 (2001)
- Fire Safety Authority of Gwangju, "Safety education textbook for vehicle operators", ~ (2014)