• Title/Summary/Keyword: 제설전진기지

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Planning Guidance for Snow Control Material Storage Facilities Based on Case Studies (사례조사를 통한 제설전진기지 시설기준에 관한 연구)

  • Kim, Geun-Young;Kim, Hee-Jea;Park, U-Yeol
    • Journal of the Korea Institute of Building Construction
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    • v.16 no.4
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    • pp.381-388
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    • 2016
  • The snow control storage facilities have the physical requirements that are an anti-icing and deicing operations. They are efficiently and quickly performed, and composed of a vehicle depot for the snow removal equipment and truck, anti-icing and deicing chemical storages, and the control utilities. This study is to investigate the planning guidance of foreign countries, and the actual conditions of the snow control chemical storage facilities for expressway, the national highway and the local road, and is to suggest the planning guidelines. As some of the authorities have no fixed structures for the snow control storage, this study analyze the 5 cases constructed lately. From the result of the case studies, the operations performed in the snow control storage facilities and drawback of the facilities are analyzed with respect to layout, size, plan, and structure, and the improvement planning guidance is also suggested.

Particle Swarm Optimization for Snowplow Route Allocation and Location of Snow Control Material Storage (Particle Swarm Optimization을 이용한 제설차량 작업구간 할당 및 제설전진기지 위치 최적화)

  • Park, U-Yeol;Kim, Geun-Young;Kim, Sun-Young;Kim, Hee-Jae
    • Journal of the Korea Institute of Building Construction
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    • v.17 no.4
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    • pp.369-375
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    • 2017
  • This study suggests PSO(Particle Swarm Optimization) algorithm that optimizes the snowplow route allocation and the location of the snow control material storage to improve the efficiency in snow removal works. The modified PSO algorithm for improving the search capacity is proposed, and this study suggests the solution representation, the parameter setting, and the fitness function for the given optimization problems. Computational experiments in real-world case are carried out to justify the proposed method and compared with the traditional PSO algorithms. The results show that the proposed algorithms can find the better solution than the traditional PSO algorithms by searching for the wider solution space without falling into the local optima. The finding of this study is efficiently employed to solve the optimization of the snowplow route allocation by minimizing the workload of each snowplow to search the location of the snow control material storage as well.