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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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A Study to Provide Real-Time Freeway Precipitation Information Using C-ITS Based PVD

C-ITS 기반 PVD를 활용한 실시간 고속도로 강수정보 수집에 관한 연구

  • Kim, Ho seon (Division of Urban Civil Engineering, Gyeongsang National University) ;
  • Kim, Seoung bum (Division of Architectural, Urban, and Civil Engineering/Engineering Research Institute, Gyeongsang National University)
  • 김호선 (경상대학교 도시공학과) ;
  • 김승범 (경상대학교 건축도시토목공학부/공학연구원(ERI))
  • Received : 2021.10.14
  • Accepted : 2021.11.29
  • Published : 2021.12.31
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Abstract

Providing weather information on roads today means that the road weather conditions near weather observation points are presented to road managers and road users. These weather observation points are managed by the Korea Meteorological Administration. However, it is difficult to provide accurate weather information due to physical limitations such as the presence of precipitation collection points, distance to weather information provision roads, and the presence of mountains. Therefore, this study intends to perform a comparative analysis by time zone and administrative dong provided by the Meteorological Administration using the wiper information among the information contained in the PVD(Probe Vehicle Data) collected from the highway C-ITS project. As a result of the analysis it was possible to detect rainfall even in the event of local rainfall and rainfall over a long period of time and the higher the cumulative precipitation per hour, the higher the probability of coincidence. This study is meaningful because it used PVD to solve the limitations of the existing road weather information provision method and suggested utilization plan for PVD.

오늘날 도로의 기상정보를 제공하기 위해 기상청에서 관리하는 기상관측 지점의 관측데이터를 활용하여 기상관측 지점 인근의 도로 기상상태를 도로관리자와 도로이용자에게 제공하는 방식을 취하고 있다. 하지만, 강수량 수집지점과 기상정보 제공 대상 도로와의 거리와 자연지형으로 인해 현실적으로 정확한 기상정보의 제공이 어려운 실정이다. 따라서, 본 연구에서는 고속도로 C-ITS로부터 수집되는 PVD(Probe Vehicle Data)에 포함되어있는 수집시간, 좌표정보, 와이퍼 정보 등을 활용하여 노선 전체에 걸쳐 실시간 강우 정보를 추출함으로써 기존 지점 단위의 기상청 강우 정보제공의 한계를 극복해 보고자 한다. C-ITS 기반 PVD로부터 추출된 와이퍼 정보와 기상청 기반 정보를 비교해본 결과 강우강도에 관계없이 두 정보는 대체로 유사함을 알 수 있었으며, 시간당 누적강수량이 많아질수록 일치 확률이 높아지는 것을 확인할 수 있었다. 본 연구는 기존 도로의 기상정보 제공방법의 한계점을 극복하기 위해 C-ITS 기반 PVD를 활용했다는 점과 향후 다양한 지역에서 수집될 것으로 예상되는 PVD의 새로운 활용방안을 제시했다는 측면에서 의의가 있다.

Keywords

References

  1. Bertoldo S., Lucianaz C. and Allegretti M.(2018), "On the Use of a 77GHz Automotive Radar as a Microwave Rain Gauge," Journal of Engineering, Technology and Applied Science Research, vol. 8, pp.2356-2360. https://doi.org/10.48084/etasr.1755
  2. Chung Y. S.(2013), "Travel Behavior Response of Road Users to Weather Forecast Information Service," Journal of Transport Research, vol. 20, no. 4, pp.29-40. https://doi.org/10.34143/jtr.2013.20.4.29
  3. Dahmane K., Duthon P., Bernardin F., Colomb M., Chausse F. and Blanc C.(2021), "WeatherEye-Proposal of an Algorithm Able to Classify Weather Conditions from Traffic Camera Images," Atmosphere, vol. 12, no. 6, p.717. https://doi.org/10.3390/atmos12060717
  4. 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
  5. Jang B. J. and Lim S. H.(2020), "Precipitation Information Retrieval Method Using Automotive Radar Data," Journal of the Korean Society of Civil Engineers, vol. 40, no. 3, pp.265-271. https://doi.org/10.12652/KSCE.2020.40.3.0265
  6. Jang B. J., Jung I. T., Chong K. S., Sung H. K. and Lim S. H.(2019), "Rainfall Observation System Using Automotive Radar Sensor for ADAS Based Driving Safety," Intelligent Transportation System Conference(ITSC), pp.305-310.
  7. Khan M. N. and Ahmed M. M.(2021), "Weather Net: Development of a Novel Convolutional Neural Network Architecture for Trajectory-Level Weather Detection Using SHRP2 Naturalistic Driving Data," Journal of the Transportation Research Board, no. TRBAM-21-03504.
  8. Kim Y. G., Lee S. H. and Kim B. S.(2018), "Measurement of Rainfall using Sensor Signal Generated from Vehicle Rain Sensor," Journal of the Korean Society of Civil Engineers, vol. 38, no. 2, pp.227-235. https://doi.org/10.12652/KSCE.2018.38.2.0227
  9. Ko B. S., Li Z. and Choi H. J.(2017), "Determination of Precipitation from Road CCTV Video by Using CNN-LSTM," Journal of the Korean Institute of Information Scientists and Engineers, pp.820-822.
  10. Ko J. E., Jang J. Y. and Oh C.(2021), "Assessing the Safety Benefits of In-Vihicle Warning Information by Vehicle Interaction Analysis in C-ITS Environments," Journal of Korean Society of Transportation, vol. 39, no. 1, pp.1-13. https://doi.org/10.7470/jkst.2021.39.1.001
  11. Korea Road Traffic Authority Traffic Science Institute(2015), A Study on The Variable Speed Limitation in Bad Weather, pp.1-33.
  12. Lee B. H., Lee S. H., Kwon B. R. and Kim B. S.(2018), "A Study on the Management of the Traffic Weather Information Based on the Rain Rainfalling Sensor Information," Korea Water Resources Association, p.27.
  13. Lee C. D., Park J. S., Lee B. H. and Kim B. S.(2019), "Development of a Rainfall Observation Method Using Vehicle Rainfall Sensors," Korea Society of Hazard Mitigation, vol. 19, no. 3, pp.33-40.
  14. Li Z., Hyeon J. H. and Choi H. J.(2018), "Rainfall Recognition from Road Surveillance Videos Using TSN," Journal of Korean Society for Atmospheric Environment, vol. 34, no. 5, pp.735-747. https://doi.org/10.5572/KOSAE.2018.34.5.735
  15. Lim S. H., Kim M. S., Ryu S. G. and Yun Y. H.(2007), "VMS Utillzation for Road Weather Information Collection," Journal of the Korean Society of Civil Engineers, pp.1489-1492.
  16. Mercelis S., Watelet S., Casteels W., Bogaerts T., Bergh J. V., Reyniers M. and Hellinckx P.(2020), "Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets," 2020 IEEE 91st Vehicular Technology Conference(VTC2020-Spring), pp.1-7.
  17. Safetynews, http://www.kotsa.or.kr/ind/prt/InqDetNANNewsData.do?bbsCd=203&bbsSn=15934
  18. Son Y. T. and Jeon J. S.(2013), "A Study on Traffi-Flow Characteristic Changes on Expressway by Visibility," The Journal of the Korea Institute of Intelligent Transport System, vol. 12, no. 6, pp.116-126. https://doi.org/10.12815/kits.2013.12.6.116