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Measuring Technologies of Traffic Conflict Risk between Vehicles and Pedestrians

차량-보행자간의 상충위험도 측정 기술 연구

  • 장정아 (아주대학교 TOD기반 도시교통연구센터) ;
  • 이현수 ((주)엘비씨소프트)
  • Received : 2017.02.17
  • Accepted : 2017.04.24
  • Published : 2017.04.30

Abstract

In Korea, traffic accidents between pedestrians and vehicles in 2015 account for 38.8% of all accidents. This study proposes a system design that can measure the risk of conflict between a vehicle and a pedestrian. Firstly the systemdetect and estimate the position, speed, and directional data of the vehicle and the pedestrian. And then it estimate the conflict point between a vehicle and a pedestrian. The risk of conflict is quantified by estimating the pedestrian safety margin (PSM), which is the time difference between the arrival of the pedestrian at the crossing point to the point of conflict and the vehicle approaching the point. In this system each data is acquired through an external monitoring based evaluation module and an individual wearing module. In the future, such a system can be used for decision making such as the design of road hazard improvement facilities and the designation of the elderly protection area.

우리나라 2015년 차량과 보행자간의 교통사고는 전체 사고의 38.8%에 달한다. 본 연구는 차량과 보행자간의 상충상황에 대한 위험도를 측정할 수 있는 시스템의 설계방안을 제안한다. 1차적으로 차량과 보행자의 위치, 속도, 방향성을 검지하고 이를 간의 상충지점을 추정한다. 이후 상충지점까지의 횡단지점의 보행자의 도착과 그 지점에 접근하는 차량과의 시간 차이인 보행자안전간격(PSM, Pedestrian Safety Margin)을 추정하여 상충위험도를 정량화한다. 본 연구에서는 외부 모니터링 기반 평가모듈과 개인의 착용형 모듈을 통하여 각 데이터를 취득하고 이를 위한 하드웨어 및 소프트웨어 설계 내용을 제시하고 구현하였다. 향후 이러한 시스템은 도로의 위험도 개선시설 설계, 노인보호구역 지정 등의 의사결정에 활용될 수 있을 것으로 사료된다.

Keywords

References

  1. Ministry of Land, Infrastructure and Transport, "The 8th Traffic Safety Basic Plan(2017-2021)," Announcement 2017-213, Feb. 2017.
  2. W. Cho and J. Jang, "Safety message transmission technology for the elderly pedestrians at the conflict area: background and technology concept," J. of the Korea Institute of Electronic Communication Sciences, vol. 10, no. 3, 2015, pp. 413-418. https://doi.org/10.13067/JKIECS.2015.10.3.413
  3. J. Jang and W. Cho, "Road safety message providing methodology for considering the elderly walking behavior," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 1, 2015, pp. 9-16. https://doi.org/10.13067/JKIECS.2017.12.1.9
  4. J. Aang, B. Yoo, and H. Lee, "A real-time sensing system of elderly's crossing behavior at outdoor environments," The 7th Int. Conf. on ICT Convergence, Jeju, Korea, June 2016.
  5. H. Timmermans, Pedestrian behavior: models, data collection and applications. Emerald Group Publishing, Nov. 2009.
  6. G. Griffin, K. Nordback, T. Gotschi, E. Stolz, and S. Kothuri, S., "Monitoring bicyclist and pedestrian travel and behavior: current research and practice," Transportation Research E-Circular, (E-C183), Mar. 2014.
  7. S. Perkins and J. Harris, "Traffic conflict characteristics: Accident potential at intersections," Highway Research Record, no. 225, Highway Research Board, Dec. 1968.
  8. C. Hyden, "The development of a method for traffic safety evaluation : The Swedich traffic Conflicts Technique," Bulletin Lund Institute of Technology, Department of Traffic Planning and Engineering, Lund University, Issue number 70, 1987.
  9. R. Rastogi, S. Chandra, and V. Das, "Risk Analysis and Pedestrian Crossing Behaviour," Traffic Engineering and Control, no. 53, vol 10, pp. 383-386, Nov. 2012.
  10. R. Lobjois, N. Benguigui, and V. Cavallo, "The effects of age and traffic density on street-crossing behavior," Accident Analysis and Prevention, no. 53, 2013, pp. 166-175. Apr. 2013. https://doi.org/10.1016/j.aap.2012.12.028