DOI QR코드

DOI QR Code

RWIS 설치를 위한 우선순위 선정 기법에 관한 연구

A Study of Determining Priorities of RWIS Installation

  • 투고 : 2012.10.10
  • 심사 : 2012.11.27
  • 발행 : 2012.12.17

초록

PURPOSES : This paper presents how to determine priorities of RWIS installation on national highways within the limited budget. METHODS : Analytical hierarchy process was employed to develop the entire methodology. In addition to this, various data such as vulnerable roadway section for snow removal, RWIS, AWS, AADT, and traffic accident were properly collected and analyzed for the future analysis. Then, GIS analysis was performed to find out the final candidate vulnerable roadway section for snow removal. In the end, expert survey was conducted to estimate weights for evaluation criteria. RESULTS : Results showed that metropolitan area has the most high priority, and Gangwon area, ChungCheung, and Honam in order. CONCLUSIONS : The main contribution of this paper is to suggest a logical methodology to prioritize RWIS installation within the limited budget, and thus snow removal operation during the winter season can improve in terms of getting more valuable information.

키워드

참고문헌

  1. Bogren, J., T, Gustavsson: Intelligent transportation systems and support system for winter road maintenance, Transportation research circular(E-C162), 65-71, 2012
  2. FWHA, Road Weather Information System Environmental Sensor Station Siting Guidelines, 2006
  3. Minnesota DOT, Minnesota Snow and Ice Control-Field Handbook for Snowplpw Operators, 2005
  4. National Emergency Management Agency, A Guideline for Natural Disaster in Winter, 2012
  5. The Korea Expressway Corporation, Study on Establishing Highway Road Weather Information System, 2010
  6. The Korea Expressway Corporation, Freeway Disaster Management Manual, 2010
  7. The Ministry of Land, Transport and Maritime Affairs, A Guideline for Roadway Snow Removal in South Korea, 2011
  8. The Ministry of Land, Transport and Maritime Affairs, Winter snow road measures, 2011
  9. The Ministry of Land, Transport and Maritime Affairs, Snow Study road system for advanced, 2012
  10. Yang et al., Analysis of Snow Removal Vulnerability through Relationship between Snow Removal Works and Weather Forecasts, 2012
  11. www.road.re.kr