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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. Najar, Nadeem Akbar & Jana, Arnab & Parthasarathy, D., 2025. "Addressing climatic uncertainty through fleet optimization for robust winter road maintenance policy design," Journal of Policy Modeling, Elsevier, vol. 47(1), pages 134-149.

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