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Route selection through a dynamic ice field using the maximum principle

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  • Thomson, N. R.
  • Sykes, J. F.

Abstract

To aid in the extension of the short navigating season in the Canadian Artic a route selection optimization procedure has been developed. This route selection procedure operates on the strategic navigation support level which has a spatial scale of several hundred kilometres and a decision horizon of 3 to 4 days. The optimization procedure is formulated as an optimal control problem and is solved by a synthesis of the maximum principle and the dynamic programming method. The potential of this optimization procedure is demonstrated by an application to two hypothetical route selection problems and one field example.

Suggested Citation

  • Thomson, N. R. & Sykes, J. F., 1988. "Route selection through a dynamic ice field using the maximum principle," Transportation Research Part B: Methodological, Elsevier, vol. 22(5), pages 339-356, October.
    • Handle: RePEc:eee:transb:v:22:y:1988:i:5:p:339-356
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    Cited by:

    1. Jha, Manoj K. & Schonfeld, Paul, 2004. "A highway alignment optimization model using geographic information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(6), pages 455-481, July.
    2. Kim, Eungcheol & Jha, Manoj K. & Son, Bongsoo, 2005. "Improving the computational efficiency of highway alignment optimization models through a stepwise genetic algorithms approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(4), pages 339-360, May.
    3. Jakub Montewka & Floris Goerlandt & Mikko Lensu & Lauri Kuuliala & Robert Guinness, 2019. "Toward a hybrid model of ship performance in ice suitable for route planning purpose," Journal of Risk and Reliability, , vol. 233(1), pages 18-34, February.

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