DOI QR코드

DOI QR Code

기상인자를 고려한 도로 위험지도 개발

Development of a Road Hazard Map Considering Meteorological Factors

  • 투고 : 2017.04.07
  • 심사 : 2017.05.20
  • 발행 : 2017.06.30

초록

최근 기상정보는 우리 실생활에 더욱 밀접해지고 있으며, 특히 교통분야에는 매우 중요한 요소로 작용하고 있다. 전 세계적으로 기상이변에 따른 교통분야의 피해는 점차 증가하고 있지만, 기상상태에 따른 도로 위험정도, 교통사고 발생가능성 등 상관관계가 매우 높을 것으로 추정됨에도 불구하고 교통예보서비스, 교통안전정보 제공 등 국내 연구는 기초연구 수준에 진행되고 있다. 본 연구는 기상인자별 사고분석 자료를 기반으로 실시간 기상정보와 교통정보를 연계하여 기상상황별 도로위험 예보서비스를 위한 위험지도 개발을 연구목적으로 하고 있다. 이를 위해 관련자료 수집 및 분석, 자료가공, 기상상태별 예측모형을 적용, 웹 지도상에서 전국고속도로를 대상으로 기상상태별도로 위험지도를 제공하는 방안을 개발하였다. 그 결과 본 연구에서 개발한 도로 위험지도는 향후 온라인, 모바일 서비스 등 도로 관리자, 사용자에게 유용하게 활용할 수 있을 것으로 기대할 수 있다. 또한, 제4차 산업혁명의 핵심 키워드인 자율주행자동차 운행에 있어 기상요소에 따른 위험도를 예측하고 선제적으로 대비할 수 있도록 위험지도 DB를 지속적으로 아카이빙하고 제공하여 보다 안전한 자율주행을 지원할 수 있는 정보로써 활용할 수 있을 것으로 판단된다.

Recently, weather information is getting closer to our real life, and it is a very important factor especially in the transportation field. Although the damage caused by the abnormal climate changes around the world has been gradually increased and the correlation between the road risk and the possibility of traffic accidents is very high, the domestic research has been performed at the level of basic research. The Purpose of this study is to develop a risk map for the road hazard forecasting service of weather situation by linking real - time weather information and traffic information based on accident analysis data by weather factors. So, we have developed a collection and analysis about related data, processing, applying prediction models in various weather conditions and a method to provide the road hazard map for national highways and provincial roads on a web map. As a result, the road hazard map proposed in this study can be expected to be useful for road managers and users through online and mobile services in the future. In addition, information that can support safe autonomous driving by continuously archiving and providing a risk map database so as to anticipate and preemptively prepare for the risk due to meteorological factors in the autonomous driving vehicle, which is a key factor of the 4th Industrial Revolution, and this map can be expected to be fully utilized.

키워드

참고문헌

  1. Bae, K.Y., Lee, J.E., and Kim, Y.B. (2013), A study on the weavigation service for smart devices that reflects the real-time weather conditions in vulnerable area, Climate Change Research, Vol. 4, No. 4, pp. 385-395. (in Korea with English abstract)
  2. Choi, S., Kim, M.J., Oh, C., and Lee, K.Y. (2013), Effects of weather and traffic conditions on truck accident severity on freeways, Journal of the Korean Society of Civil Engineers, Vol. 33, No. 3, pp. 1105-1113. (in Korea with English abstract) https://doi.org/10.12652/Ksce.2013.33.3.1105
  3. Chung, Y.S., Song, T.J., Chae, C.D., Kim, H., Lee, J.S., and Cho, C.S.(2011), A preliminary study on national traffic forecasting system development to cope with transportation vulnerability, The Korea Transport Institute, Gyeonggi, Korea
  4. Ha, O.K., Oh, J.T., Won, J.M., and Sung, N.M. (2005), The study on the accident injury severity using ordered probit model, Journal of Korean Society of Transportation, Vol. 23, No. 4, pp. 47-55. (in Korea with English abstract)
  5. Hong, S.M., Kim, J.K., and Oh, C. (2012), Characteristics of geometric conditions affecting freeway traffic safety at nighttime, sunrise, and sunset, Journal of Korean Society of Transportation, Vol. 30, No. 4, pp. 95-10. (in Korea with English abstract) https://doi.org/10.7470/jkst.2012.30.4.095
  6. Lee, S.I., Won, J.M., and Ha, O.K. (2008), A study on the development of a traffic accident ratio model in foggy areas, Journal of the Korean Society of Safety, Vol. 23, No. 6, pp. 171-177. (in Korea with English abstract)
  7. Park, J.H., Yun, D.G., and Sung, J.G. (2013), Analysis on factors affecting traffic accident severity -case study : arterial included curve section, Journal of Korean Society of Transportation, Vol. 28, No. 6, pp. 84-89. (in Korea with English abstract)
  8. Park, J.T., Hong, J.Y., and Lee, S.B. (2010), Development of traffic accident safety index under different weather conditions, Journal of Korean Society of Transportation, Vol. 28, No. 1, pp. 157-163. (in Korea with English abstract)