• Title/Summary/Keyword: Snow Removal Vehicles

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Estimating Equipment and vehicle Demands for Snow Removal Tasks by Road Snow Removal Scenarios (도로 제설 시나리오별 소요 제설장비 및 차량 추정에 관한 연구)

  • Kim, Heejae;Kim, Sunyoung;Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.13 no.2
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    • pp.199-212
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    • 2017
  • Rapid roadway snow removal is significantly important due to difficult occurrence estimation of heavy snowfall disasters by global warming and climate change. Local governments of S. Korea have snow removal equipments and vehicles based on past experiences without considering snowfall and roadway characteristics. The objective of this research is to develop the demand estimation procedure for snow removal equipments and vehicles based on regional snowfall and roadway characteristics. This research first classifies regional snowfall characteristics using KMO's ten-year snowfall data. Second, roadway snow removal length is computed for local governments. Real possession data is compared with demand estimation of snow removal equipments & vehicles for each local government with roadway snow removal scenarios. Finally, required demands of snow removal equipments & vehicles are predicted by concerning regional snowfall amount and required snow removal hours. Results from this research are used for developing heavy snowfall disaster management policies for optimal demands and snow removal routes of 229 local governments.

A Case Analysis Study on the Development of Snow Removal Equipment Using Smart Mobility (스마트 모빌리티를 적용한 제설장비 개발을 위한 사례분석 연구)

  • Heejae Kim;Geunyoung Kim
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.138-146
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    • 2024
  • Purpose: The purpose of this study is to find cases of using information and communication technology and smart mobility technology in snow removal vehicles and equipment for rapid and efficient road snow removal in the event of a snowstorm, and to find ways to utilize them. Method: Cases of domestic and overseas snow removal methods are investigated, and snow removal operation methods incorporating new technologies are presented. Result: Most of the operation of snow removal equipment in Korea uses GPS, CCTV, and road traffic information systems, and in the case of overseas, road weather information systems and road snow removal monitoring systems are used. It is expected that snow removal technology using autonomous snow removal vehicles, which are smart mobility, will be developed in the future. Conclusion: The results of this study can contribute to the policy of using snow removal equipment and snow removal vehicles of local governments and related organizations.

A Study on the Design of Relay Terminal Analysis Tool and Real-time Monitoring System for Driving Control Information of Snow-Removal Vehicles (제설차량의 운행정보 실시간 모니터링 시스템 및 중계단말 분석 도구 설계에 관한 연구)

  • Lee, Yang Sun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.3
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    • pp.713-718
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    • 2014
  • This paper proposed a real-time monitoring system that can realize effective operation of snowplows each of the local autonomous entities secures to cope with disasters in Korea like a wintertime heavy snowfall and also can promptly cope with the spot facing a heavy snowfall disaster by doing real-time monitoring on the information of the snow-removal site and the mobility of the vehicles. Also, the study has designed a relay terminal analysis tool so that the proposed system can analyze all kinds of controlling information and diagnose the relay terminal effectively. The proposed system can realize effective and emergent coping with the situations of a heavy snowfall disaster through real-time routing trace as well as effective work progress within a short time by doing real-time monitoring on the information about the status of snow-removal work and vehicle controlling for snow-removal work as well as the location information of snow-removal vehicles in the situations of a heavy snowfall.

Operation Case Analyses of Snow Removal Equipments using Information system Technologies (정보 시스템 기술을 적용한 제설장비 운영 사례 분석)

  • Kim, Hee-Jae;Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.14 no.2
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    • pp.154-164
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    • 2018
  • Purpose: Recent climate change makes weather-related disasters such as summer storms, heavy rains, winter snowfall disasters, and extreme cold temperature increase in trend. Heavy snowfall disasters requires speedy response due to various effects to traffic flows, buildings, and infrastructure. Heavy snowfall disaster response of South Korea is insufficient, even though heavy snowfall disasters affect urban safety. There have been lack of policy studies for heavy snowfall disasters. Method: This research analyzes case studies and explores implications using Information system technologies to snow removal vehicles and equipments for speedy snow removal during the heavy snowfall disasters. Results: Information system technology attachment to snow removal equipments can identify locations of snow removal vehicles and equipments for emergency period to support snow removal of adjacent jurisdictions. Conclusion: Case studies of this research can be further used for efficient application of snow removal tools of local governments.

The Study for Classifying Snowfall Area Types with Consideration of Snowfall Characteristics and Times (강설특성과 강설시간을 고려한 강설지역의 유형 구분에 관한 연구)

  • Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.16 no.1
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    • pp.21-33
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    • 2020
  • Purpose: The objective of this research is to classify snowfall area types with consideration of past regional snowfall characteristics and times for the effective local snow removal response systems of 229 local government districts. Method: This research first collected snowfall data of South Korea meteorological stations, and classified regional types using successive snowfall time. This research finally produced GIS maps using regional type information of snowfalls by applying GIS analysis methods. Result: This research provides five types of snowfall regions including 'frequent heavy snowfall regions', 'frequent light snowfall regions', 'rare heavy snowfall regions', 'average snowfall regions', and 'rare light snowfall regions' based on analysis results. Conclusion: Results of this research can be used as basic information for regional demand estimations of snow removal equipments, materials, vehicles, and personnel for the efficient snow removal response systems.