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Optimizing winter road maintenance operations under real-time information

Author

Listed:
  • Fu, Liping
  • Trudel, Mathieu
  • Kim, Valeri

Abstract

This paper introduces a real-time optimization model that can be used by maintenance managers to develop and evaluate alternative resources allocation plans for winter road maintenance operations. The model takes into account a wide range of road and weather condition factors such as road network topology, road class, weather forecasts, and contractual service levels, and produces a vehicle dispatch schedule that is optimal with respect to operating costs and quality of service. The model is then used in an analysis on a realistic case to illustrate the potential impact of improved information on winter maintenance operations.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:196:y:2009:i:1:p:332-341
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    Cited by:

    1. 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).
    2. Tianyu Wang & Igor Averbakh, 2022. "Network construction/restoration problems: cycles and complexity," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 51-73, August.
    3. 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.

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