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Constraint-Based snowplow optimization model for winter maintenance operations

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  • Nguyen, Phuong H.D.
  • Tran, Daniel

Abstract

In the annual winter route maintenance, transportation agencies often deploy multiple fleets of trucks for snow control and removal activities over a vast maintenance area which creates an operational problem in determining the optimal maintenance routes and fleet size. The objective of this paper is to develop a snowplow routing optimization model to enhance the efficiency of snow removal route planning. The routing optimization model was developed using vehicle routing problems, constraint-based programming, and geographic information system. The developed model was applied to optimize the snow removal route planning practice of a District in Kansas, United States, as a case study. The result of this study shows that the optimization model can help minimize the fleet size and increase the level of service for treating snow routes within the selected District. The results of this study are expected to assist transportation agencies in optimizing their snow route removal in winter maintenance operations.

Suggested Citation

  • Nguyen, Phuong H.D. & Tran, Daniel, 2024. "Constraint-Based snowplow optimization model for winter maintenance operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:transa:v:179:y:2024:i:c:s0965856423003312
    DOI: 10.1016/j.tra.2023.103911
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    References listed on IDEAS

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    1. Brunner, Carlos & Giesen, Ricardo & Klapp, Mathias A. & Flórez-Calderón, Luz, 2021. "Vehicle routing problem with steep roads," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 1-17.
    2. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
    3. Joris Kinable & Willem-Jan van Hoeve & Stephen F. Smith, 2020. "Snow plow route optimization: A constraint programming approach," IISE Transactions, Taylor & Francis Journals, vol. 53(6), pages 685-703, November.
    4. Nathalie Perrier & André Langevin & Ciro-Alberto Amaya, 2008. "Vehicle Routing for Urban Snow Plowing Operations," Transportation Science, INFORMS, vol. 42(1), pages 44-56, February.
    5. Campbell, James F. & Langevin, André, 1995. "Operations management for urban snow removal and disposal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(5), pages 359-370, September.
    6. Mayerle, Sérgio Fernando & De Genaro Chiroli, Daiane Maria & Neiva de Figueiredo, João & Rodrigues, Hidelbrando Ferreira, 2020. "The long-haul full-load vehicle routing and truck driver scheduling problem with intermediate stops: An economic impact evaluation of Brazilian policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 36-51.
    7. Fu, Liping & Trudel, Mathieu & Kim, Valeri, 2009. "Optimizing winter road maintenance operations under real-time information," European Journal of Operational Research, Elsevier, vol. 196(1), pages 332-341, July.
    8. Sullivan, James L. & Dowds, Jonathan & Novak, David C. & Scott, Darren M. & Ragsdale, Cliff, 2019. "Development and application of an iterative heuristic for roadway snow and ice control," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 18-31.
    9. Rincon-Garcia, Nicolas & Waterson, Ben & Cherrett, Tom J. & Salazar-Arrieta, Fernando, 2020. "A metaheuristic for the time-dependent vehicle routing problem considering driving hours regulations – An application in city logistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 429-446.
    10. Haghani, Ali & Banihashemi, Mohamadreza, 2002. "Heuristic approaches for solving large-scale bus transit vehicle scheduling problem with route time constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(4), pages 309-333, May.
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