The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Analysis of Driving and Environmental Impacts by Providing Warning Information in C-ITS Vehicles Using PVD

PVD를 활용한 C-ITS 차량 내 경고정보 제공에 따른 주행 및 환경영향 분석

  • Yoonmi Kim (Dept. of Mobility Transformation, Korea Transport Institute) ;
  • Ho Seon Kim (Dept. of Smart City Engineering, Hanyang University) ;
  • Kyeong-Pyo Kang (Center for Connected and Automated Driving Research, Korea Transport Institute) ;
  • Seoung Bum Kim (Division of Architectural, Urban, and Civil Engineering/ Engineering Research Institute, Gyeongsang National University)
  • 김윤미 (한국교통연구원 모빌리티전환연구본부) ;
  • 김호선 (한양대학교 스마트시티공학과) ;
  • 강경표 (한국교통연구원 자율협력주행연구센터 ) ;
  • 김승범 (경상국립대학교 도시공학과/공학연구원(ERI))
  • Received : 2023.10.12
  • Accepted : 2023.10.24
  • Published : 2023.10.31
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Abstract

C-ITS (Cooperative-Intelligent Transportation System) refers to user safety-oriented technology and systems that provide forward traffic situation information based on a two-way wireless communication technology between vehicles or between vehicles and infrastructure. Since the Daejeon-Sejong pilot project in 2016, the C-ITS infrastructure has been installed at various locations to provide C-ITS safety services through highway and local government demonstration projects. In this study, a methodology was developed to verify the effectiveness of the warning information using individual vehicle data collected through the Gwangju Metropolitan City C-ITS demonstration project. The analysis of the effectiveness was largely divided into driving behavior impact analysis and environmental analysis. Compliance analysis and driving safety evaluation were performed for the driving impact analysis. In addition, to supplement the inadequate collection of Probe Vehicle Data (PVD) collected during the C-ITS demonstration project, Digital Tacho Graph ( DTG ) data was additionally collected and used for effect analysis. The results of the compliance analysis showed that drivers displayed reduced driving behavior in response to warning information based on a sufficient number of valid samples. Also, the results of calculating and analyzing driving safety indicators, such as jerk and acceleration noise, revealed that driving safety was improved due to the provision of warning information.

C-ITS(Cooperative-Intelligent Transportation System)는 차량과 차량 또는 차량과 인프라 간의 양방향 무선통신 기술을 기반으로 전방의 교통상황 정보를 제공하는 이용자 안전중심의 기술 및 시스템을 의미한다. 2016년 대전-세종 시범사업을 시작으로 고속도로 및 지자체 실증사업을 통해 통신 인프라 구축, 단말기 보급, C-ITS 안전 서비스를 제공하고 있다. 본 연구에서는 광주광역시 C-ITS 실증사업을 통해 수집된 개별차량 데이터를 활용하여 경고 정보의 개별적인 효과를 검증하기 위한 방법론을 개발하였다. 효과분석은 크게 주행영향 분석과 환경분석으로 나뉘며 주행영향 분석을 위해 순응도 분석과 주행안전성 평가를 수행하였다. 추가로 C-ITS 실증사업 기간동안 수집되었던 PVD (Probe Vehicle Data)의 부족한 데이터 수집을 보완하고자 DTG (Digital Tacho Graph) 데이터를 추가 수집하여 효과분석에 활용하였다. 순응도 분석결과 충분한 유효샘플이 수집된 경고정보에 대해 운전자는 감속운행행태를 보였으며, Jerk와 가속 소음과 같은 주행안전성 지표를 산출하여 분석한 결과 경고정보 제공으로 인해 주행안전성이 개선되었다. 반면 감속운행행태로 C-ITS 구축 이후 배출가스 양은 소폭 증가한 것을 알 수 있었다.

Keywords

Acknowledgement

본 연구는 광주 C-ITS 실증사업을 통해 수집한 데이터를 활용하여, 국토교통부 자율주행기술개발혁신사업 연구개발과제 (RS-2022-00143579)의 지원으로 수행하였습니다.

References

  1. Bagdadi, O. and Varhelyi, A.(2013), "Development of a method for detecting jerks in safety critical events", Accident Analysis & Prevention, vol. 50, pp.83-91. https://doi.org/10.1016/j.aap.2012.03.032
  2. Bokare, P. S. and Maurya, A. K.(2013), "Study of Effect of Speed, Acceleration and Deceleration of Small Petrol Car on ITS Tail Pipe Emission", International Journal for Traffic & Transport Engineering, vol. 3, no. 4, pp.465-478. https://doi.org/10.7708/ijtte.2013.3(4).09
  3. Chang, X., Li, H., Qin, L., Rong, J., Lu, Y. and Chen, X.(2019), "Evaluation of cooperative systems on driver behavior in heavy fog condition based on a driving simulator", Accident Analysis & Prevention, vol. 128, pp.197-205. https://doi.org/10.1016/j.aap.2019.04.019
  4. Gu, Y. S., Go, J. E., Jang, J. Y. and Oh, C.(2021), "Analysis of the Effectiveness of Traffic Safety Information using ADAS Data", Korean Society of Transportation, vol. 18, no. 5, pp.69-77.
  5. Gueriau, M., Billot, R., El Faouzi, N. E., Monteil, J., Armetta, F. and Hassas, S.(2016), "How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies", Transportation Research Part C: Emerging Technologies, vol. 67, pp.266-279. https://doi.org/10.1016/j.trc.2016.01.020
  6. Jang, J., Ko, J., Park, J., Oh, C. and Kim, S.(2020), "Identification of safety benefits by inter-vehicle crash risk analysis using connected vehicle systems data on Korean freeways", Accident Analysis & Prevention, vol. 144, 105675.
  7. Jo, Y., Jang, J., Park, S. and Oh, C.(2021), "Connected vehicle-based road safety information system (CROSS): Framework and evaluation", Accident Analysis & Prevention, vol. 151, 105972.
  8. Kim, T., Kim, H. S., Kang, K. and Kim, S. B.(2022), "A Study to Evaluate the Impact of In-Vehicle Warning Information on Driving Behavior Using C-ITS Based PVD", The Journal of the Korea Institute of Intelligent Transport Systems, vol. 21, no. 5, pp.28-41. https://doi.org/10.12815/kits.2022.21.5.28
  9. Ko, H. G., Kim, J. H., Seong, M. J. and Lee, J. S.(2012), "Safe Driving Inducement Effect Analysis of Smart Delineator through Driving Simulation Evaluation", Journal of Korea Transportation Research Society, vol. 30, no. 4, pp.43-59. https://doi.org/10.7470/jkst.2012.30.4.043
  10. Ko, J. E., Jang, J. Y. and Oh, C.(2021), "Assessing the Safety Benefits of In-Vehicle Warning Information by Vehicle Interaction Analysis in C-ITS Environments", Korean Society of Transportation, vol. 39, no. 1, pp.1-13. https://doi.org/10.7470/jkst.2021.39.1.001
  11. Ko, J., Jang, J. and Oh, C.(2021), "A multi-agent driving simulation approach for evaluating the safety benefits of connected vehicles", IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 5, pp.4512-4524. https://doi.org/10.1109/TITS.2020.3045675
  12. Korea Transport Institute(2019), Improving Legal Systems for Traffic Safety on Community Streets, pp.1-194.
  13. Korea Transport Safety Authority, https://www.data.go.kr, 2023.10.03.
  14. Lee, J. S., Jung, S. J., Heo, J. S. and Lee, C. S.(2016), "A Study on Plans for Preventive Measures In Reducing Commercial Truck Crashes", Korean Society of Transportation, vol. 13, no. 3, pp.43-50.
  15. Oh, D. U., Oh, C. and Jang, M. S.(2009), "Methodology for Evaluating Freeway Interchange Spacing for High Design Speed based on Traffic Safety: Focused on Analysis of Acceleration Noise using Microscopic Traffic Simulations", Korean Society of Transportation, vol. 27, no. 5, pp.145-153.
  16. Park, J. W., Jang, J. Y. and Oh, C.(2018), "Analysis of Characteristics of Driver's Intervention on Adaptive Cruise Control Systems and Driving Stability", Journal of Korean Society of Transportation, vol. 36, no. 6, pp.480-492. https://doi.org/10.7470/jkst.2018.36.6.480
  17. Ryder, B., Gahr, B., Egolf, P., Dahlinger, A. and Wortmann, F.(2017), "Preventing traffic accidents with in-vehicle decision support systems-The impact of accident hotspot warnings on driver behaviour", Decision Support Systems, vol. 99, pp.64-74. https://doi.org/10.1016/j.dss.2017.05.004
  18. Saldivar-Carranza, E. D., Mathew, J. K., Li, H., Hunter, M., Platte, T. and Bullock, D. M.(2021), "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.
  19. Uhlemann, E.(2015), "Introducing connected vehicles [connected vehicles]", IEEE Vehicular Technology Magazine, vol. 10, no. 1, pp.23-31. https://doi.org/10.1109/MVT.2015.2390920
  20. Xie, K., Yang, D., Ozbay, K. and Yang, H.(2019), "Use of real-world connected vehicle data in identifying high-risk locations based on a new surrogate safety measure", Accident Analysis & Prevention, vol. 125, pp.311-319. https://doi.org/10.1016/j.aap.2018.07.002
  21. Zhang, X., Wang X., Bao, Y. and Zhu, X.(2022), "Safety assessment of trucks based on GPS and in-vehicle monitoring data", Accident Analysis & Prevention, vol. 168, 106619.
  22. Zhao, X., Xu, W., Ma, J., Li, H., Chen, Y. and Rong, J.(2019), "Effects of connected vehicle-based variable speed limit under different foggy conditions based on simulated driving", Accident Analysis & Prevention, vol. 128, pp.206-216. https://doi.org/10.1016/j.aap.2019.04.020
  23. Ziakopoulos, A., Theofilatos, A., Papadimitriou, E. and Yannis, G.(2019), "A meta-analysis of the impacts of operating in-vehicle information systems on road safety", IATSS Research, vol. 43, no. 3, pp.185-194. https://doi.org/10.1016/j.iatssr.2019.01.003