C-ITS 기반 PVD를 활용한 차량 내 경고정보의 운전자 주행행태 영향 분석
A Study to Evaluate the Impact of In-Vehicle Warning Information on Driving Behavior Using C-ITS Based PVD
0
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
C-ITS(Cooperative-Intelligent Transportation System)는 차량과 차량 또는 차량과 인프라 간의양방향 무선통신 기술을 기반으로 전방의 교통상황 정보를 제공하는 기술 및 시스템을 의미한다. C-ITS 환경에서는 Vehicle-to-Everything(V2X) 기반의 경고 정보를 제공함으로써 운전자로하여금 감속을 유도하고, 급격한 감속과 가속을 지양하도록 하여 주행행태를 안정적으로 개선시킬 수 있을 것으로 추측된다. 본 연구는 서울시 C-ITS 기반의 경고 정보의 개별적인 효과를검증하기 위해 경고정보에 대한 순응여부를 판단할 수 있는 방법론을 개발하였으며 추가로 주행안전성 변화를 분석하여 경고정보의 효과를 정량적으로 평가해 보고자 한다. 순응여부는 정보 제공 유무로 구별되는 사전 PVD (Probe Vehicle Data)와 사후 PVD의 속도 분포를 추출하여비교하였으며, 주행안전성 평가는 Jerk와 가속소음을 계산하여 분석을 수행하였다. 정량적 분석을 위해서 서울 C-ITS 사업기간동안 수집되었던 PVD와 부족한 데이터 수집을 보완하고자DTG (Digital Tacho Graph) 데이터를 추가 수집하여 활용하였다. 순응도 분석결과 충분한 유효샘플이 수집된 경고정보에 대해 운전자는 감속운행행태를 보였으며, Jerk와 가속소음과 같은주행안전성 지표를 산출하여 분석한 결과 경고정보 제공으로 인해 주행안전성이 개선되었음을 알 수 있었다.
Abstract
A road system with CV(Connected Vehicle)s, which is often referred to as a cooperative intelligent transportation system (C-ITS), provides various road information to drivers using an in-vehicle warning system. Road environments with CVs induce drivers to reduce their speed or change lanes to avoid potential risks downstream. Such avoidance maneuvers can be considered to improve driving behaviors from a traffic safety point of view. Thus, empirically evaluating how a given in-vehicle warning information affects driving behaviors, and monitoring of the correlation between them are essential tasks for traffic operators. To quantitatively evaluate the effect of in-vehicle warning information, this study develops a method to calculate compliance rate of drivers where two groups of speed profile before and after road information is provided are compared. In addition, conventional indexes (e.g., jerk and acceleration noise) to measure comfort of passengers are examined. Empirical tests are conducted by using PVD (Probe Vehicle Data) and DTG (Digital Tacho Graph) data to verify the individual effects of warning information based on C-ITS constructed in Seoul metropolitan area in South Korea. The results in this study shows that drivers tend to decelerate their speed as a response to the in-vehicle warning information. Meanwhile, the in-vehicle warning information helps drivers to improve the safety and comport of passengers.
참고문헌 (20)
- Bagdadi, O., "Development of a method for detecting jerks in safety critical events", Accident Analysis & Prevention, 50, pp.83~91 (2013)
- Chang, X., "Evaluation of cooperative systems on driver behavior in heavy fog condition based on a driving simulator", Accident Analysis &Prevention, 128, pp.197~205 (2019)
- Gu, Y. S., "Analysis of the Effectiveness of Traffic Safety Information using ADAS Data", Korean Society of Transportation, 18(5), pp.69~77 (2021)
- Guériau, M., "How to assess the benefits of connected vehicles? A simulation framework", Transportation Research Part C: Emerging Technologies, 67, pp.266~279 (2016)
- Jang, J., "Identification of safety benefits by inter-vehicle crash risk analysis using connected vehicle systems data on Korean freeways", Accident Analysis & Prevention, 144, pp.105675~ (2020)
- Jo, Y., "Connected vehicle-based road safety information system (CROSS): Framework and evaluation", Accident Analysis & Prevention, 151, pp.105972~ (2021)
- 고한검, "도로 주행 시뮬레이션 평가를 통한 스마트 델리네이터의 안전운전 유도 효과분석", 대한교통학회지, 30(4), pp.43~59 (2012), 대한교통학회
- 고지은, "C-ITS 환경에서 차량 간 상호작용 분석을 통한 차내 경고 정보의 교통 안전성 효과 평가", 대한교통학회지, 39(1), pp.1~13 (2021), 대한교통학회
- Ko, J., "A multi-agent driving simulation approach for evaluating the safety benefits of connected vehicles", IEEE Transactions on Intelligent Transportation Systems, 23(5), pp.4512~4524 (2021)
- Improving Legal Systems for Traffic Safety on Community Streets, "Korea Transport Institute", 1~194 (2019)
- Lee, J. S., "Study on Plans for Preventive Measures In Reducing Commercial Truck Crashes", Korean Society of Transportation, 13(3), pp.43~50 (2016)
- 오동욱, "초고속 주행환경에서 교통안전을 고려한 고속도로 진출입시설 설치간격 평가 방법론 (시뮬레이션을 이용한 가속소음 분석을 중심으로)", 대한교통학회지, 27(5), pp.145~153 (2009), 대한교통학회
- 박지원, "ACC 장착 차량 운전자의 시스템 개입특성 및 주행안정성 분석", 대한교통학회지, 36(6), pp.480~492 (2018), 대한교통학회[DOI]
- Ryder, B., "Preventing traffic accidents with in-vehicle decision support systems-The impact of accident hotspot warnings on driver behaviour", Decision Support Systems, 99, pp.64~74 (2017)
- Saldivar-Carranza, E. D., "Using Connected Vehicle Data to Evaluate Traffic Signal Performance and Driver Behavior after Changing Left-Turns Phasing", 2021 IEEE International Intelligent Transportation Systems Conference(ITSC), pp.4028~4034 (2021)
- "IEEE Vehicular Technology Magazine", 2015, 23~31
- Xie, K., "Use of real-world connected vehicle data in identifying high-risk locations based on a new surrogate safety measure", Accident Analysis &Prevention, 125, pp.311~319 (2019)
- Zhang, X., "Safety assessment of trucks based on GPS and in-vehicle monitoring data", Accident Analysis & Prevention, 168, pp.106619~ (2022)
- Zhao, X., "Effects of connected vehicle-based variable speed limit under different foggy conditions based on simulated driving", Accident Analysis & Prevention, 128, pp.206~216 (2019)
- Ziakopoulos, A., "A meta-analysis of the impacts of operating in-vehicle information systems on road safety", IATSS Research, 43(3), pp.185~194 (2019)