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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
권호 표지
DOI QR코드

DOI QR Code

Study on the Development of Advanced Road Environment Sensor and Estimation Formula for Fog Visibility Distance

보급형 도로환경센서 및 안개 가시거리 추정식 개발 연구

  • Cho, Jungho (Dept. of Transportation Eng. Univ. of Seoul.LEDO Co., Ltd.) ;
  • Jin, Minsoo (Dept. of Highway & Transportation Research, Korea Institute of Civil Eng. and building Technology) ;
  • Cho, Wonbum (Korean Peninsula Infrastructure Special Committee, Korea Institute of Civil Eng. and building Technology)
  • 조중호 (서울시립대학교 교통공학과.(주)래도) ;
  • 진민수 (한국건설기술연구원 도로교통연구본부) ;
  • 조원범 (한국건설기술연구원 남북한인프라특별위원회)
  • Received : 2022.05.20
  • Accepted : 2022.08.10
  • Published : 2022.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Snow, rain, fog, and particulate matter interfere with the vehicle driver's vision, which causes a non-secure safety distance and an increase in speed deviation, causing repetitive large-scale traffic accidents. This study developed a road environment sensor capable of measuring 11 types of fog, snow, rain, temperature, humidity, direction of wind, speed of wind, Insolation, atmospheric pressure, fine particles, rainfall, etc. and compared the visibility measured by the infrared signal value of the development sensor. The relationship between the existing fog visibility sensor and the development sensor measurement was derived from data measured at a visibility of 500m or less that directly affects road safety.

눈, 비, 안개, 미세먼지는 차량 운전자의 시야를 방해하고 이는 안전거리 미확보와 속도 편차의 증가를 야기하여 반복적인 대형 교통사고의 원인이 되고 있다. 본 연구에서는 안개, 눈, 비, 온도, 습도, 풍향, 풍속, 일사량, 기압, 미세먼지, 강수량 등 11종류를 측정할 수 있는 보급형 국산 도로환경센서를 개발하였으며, 기존에 상용되고 있는 안개 가시거리 센서로부터 측정된 가시거리와 개발 센서의 적외선 송·수신부를 통해 측정된 적외선 신호값을 비교하여, 두 측정값의 관계를 도출하였다. 기존 안개 가시거리 센서와 개발센서 측정값의 관계는 도로 안전에 직접적 영향을 미치는 500m 이하의 가시거리에서 측정된 데이터를 대상으로 도출되었다. 개발센서의 적외선 신호값과 기준 센서에서 도출된 가시거리의 비교 결과, 통계적으로 두 데이터 간 상관관계가 매우 높은 것으로 분석되었으며, 개발 센서의 적외선 신호값을 활용하여 안개 가시거리를 기준 센서와 매우 유의한 수준으로 추정할 수 있는 것으로 판단된다.

Keywords

Acknowledgement

본 연구는 국토교통부·산업통상자원부·과학기술정보통신부·행정안전부 "스마트 도로조명 플랫폼 개발 및 실증 연구 개발사업"의 연구비지원(과제번호 22PQWO-C153345-04)에 의해 수행되었습니다.

References

  1. Cho, J. H., Jung, Y. J. and Kim, C. Y.(2018), "Development of legibility distance calculation model of VMS according to fog and luminance", Traffic Safety Research, vol. 37, pp.85-98. https://doi.org/10.22940/TSR.2018.37.1.85
  2. Cho, W. B.(2021), "Necessity and direction of revision of luminous intensity standards for tunnel delineator using a light source", Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers(KIIEE) Annual Conference, p.79.
  3. Guo, F., Peng, H., Tang, J., Zou, B. and Tang, C.(2016), "Visibility detection approach to road scene foggy images", Korean Society for Internet Information Transactions on Internet and Information Systems, vol. 10, no. 9, pp.4419-4441.
  4. Im, C. H.(2007), A study on the safe speed estimation of fog-bound roads, Master's Thesis, Department of Transportation Engineering Graduate School University of Seoul, pp.1-20.
  5. Jang, J. H. and Kim, B. H.(2013), Fog detection system using CCTV image, and method for the same, KOREA PATENT 10-1219659.
  6. Kim, B. K., Jang, I. S. and Lee, K.(2011), "Real-Time Road-Visibility measurement Using CCTV Camera", Journal of Korean Society of Transportation, vol. 29, no. 4, pp.125-138.
  7. Kim, B. K., Kang, B. W., Lee, K. S. and Choi, J. C.(2005), "Development of real-time visibility monitoring system using image contrast", Asia-Pacific Journal of Atmospheric Sciences, vol. 41, no. 3, pp.449-459.
  8. Kim, C. Y.(2018), Development of Legibility Distance Calculation Model of VMS according to Fog and Luminance, Doctoral Dissertation, Department of Transportation Engineering Graduate School Ajou University, pp.1-13.
  9. Kim, K. W.(2015), Visual range measurement device and method using a geographical information and perspective of a visual image, KOREA PATENT 10-1503213.
  10. Kim, S. G.(2018), Invisibility enhancement of object tracking in foggy image, Doctoral Dissertation, Department of Electrical Engineering Graduate School Mokpo National University, pp.5-10.
  11. Kim, T. S.(2009), "Visualization of air quality based on the IMPROVE models", Journal of Digital Contents Society, vol. 10, no. 2, pp.299-307.
  12. Kim, Y. S.(2013), A study on a automatic fog detection system by image recognition and learning method for image analysis, Master's Thesis, Department of Computer Science and Engineering Graduate School Dongshin University, pp.7-27.
  13. Kim, Y. S., Kim, S. L. and Lee, S. K.(2016), "Fog generated field test for luminance criteria of variable speed-limit signs", International Journal of Highway Engineering, vol. 18, no. 6, pp.77-85.
  14. Korea Meteorological Administration(2014), Development of compact fog sensor for mornitoring on local fogs, pp.32-70.
  15. Korea Meteorological Administration(2015), Enhancement of verification/calibration techniques of meteorological instruments, pp.22-37.
  16. KOROAD TAAS(Traffic Accident Analysis System), http://taas.koroad.or.kr, 2022.04.20.
  17. Koschmieder, H.(1925), "Theorie der horizontalen sichtweite", Beirage zur Physik der Freien Atmosphare, vol. 12, no. 1, pp.33-55.
  18. Lee, G. and Kim, B. K.(2014), "Study on Development and Utilization of Wide Area Visibility Information System Using CCTV on the Highway", Journal of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 6, pp.665-671. https://doi.org/10.13067/JKIECS.2014.9.6.665
  19. Minister of Land, Infrastructure and Transport(2003), Final report: Development the safety management systems in fog-prone area, pp.15-41.
  20. Minister of Land, Infrastructure and Transport(2019), Final report: Development of a active speed management against night-time and adverse weather conditions, pp.45-48.
  21. Minister of Land, Infrastructure and Transport(2021), Final report: Development of an omnidirectional steroscopic image visibility system for low visibility of less than 1km to measure the visibility with accuracy of 90% or more, pp.4-16.
  22. Ministry of Government Legislation(MOLEG), The Korean Law Information Center, https://www.law.go.kr, 2022.04.20.
  23. Moon, H. J.(2013), Study on the development of visual calculation algorithm for fog detection, Master's Thesis, Department of Computer Science and Engineering Graduate School Korea University, pp.5-18.
  24. Park, B. Y. and Im, J. T.(2007), "Development of the weather detection algorithm using CCTV images and temperature, humidity", Journal of Korea Multimedia Society, vol. 10, no. 2, pp.209-217.
  25. Park, S. C., Lee, D. H. and Kim, Y. G.(2015), "SI-traceable calibration of a transmissometer for meteorological optical range(MOR) observation", Korean Journal of Optics and Photonics, vol. 26, no. 2, pp.73-82. https://doi.org/10.3807/KJOP.2015.26.2.073
  26. World Meteorological Organization(2014), CIMO Guide to Meteorological Instruments and Methods of Observation, Chapter 6, WMO-No. 8.