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Analysis of algorithms for an online version of the convoy movement problem

Author

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  • R Gopalan

    (Temple University)

  • N S Narayanaswamy

    (Indian Institute of Technology Madras)

Abstract

In the convoy movement problem (CMP), a set of convoys must be routed from specified origins to destinations in a transportation network, represented by an undirected graph. Two convoys may not cross each other on the same edge while travelling in opposing directions, a restriction referred to as blocking. However, convoys are permitted to follow each other on the same edge, with a specified headway separating them, but no overtaking is permitted. Further, the convoys to be routed are distinguished based on their length. Particle convoys have zero length and are permitted to traverse an edge simultaneously, whereas convoys with non-zero length have to follow each other, observing a headway. The objective is to minimize the total time taken by convoys to travel from their origins to their destinations, given the travel constraints on the edges. We consider an online version of the CMP where convoy demands arise dynamically over time. For the special case of particle convoys, we present an algorithm that has a competitive ratio of 3 in the worst case and (5/2) on average. For the particle convoy problem, we also present an alternate, randomized algorithm that provides a competitive ratio of (√13−1). We then extend the results to the case of convoys with length, which leads to an algorithm with an O(T+CL) competitive ratio, where T={Max e t(e)}/{Min e t(e)}, C is the maximum congestion (the number of distinct convoy origin–destination pairs that use any edge e) and L={Max c L(c)}/{Min c L(c)}; here L(c)>0 represents the time-headway to be observed by any convoy that follows c and t(e) represents the travel time for a convoy c on edge e.

Suggested Citation

  • R Gopalan & N S Narayanaswamy, 2009. "Analysis of algorithms for an online version of the convoy movement problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1230-1236, September.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:9:d:10.1057_palgrave.jors.2602612
    DOI: 10.1057/palgrave.jors.2602612
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    References listed on IDEAS

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    1. M Kress, 2001. "Efficient strategies for transporting mobile forces," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(3), pages 310-317, March.
    2. A L Tuson & S A Harrison, 2005. "Problem difficulty of real instances of convoy planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 763-775, July.
    3. Nirup N. Krishnamurthy & Rajan Batta & Mark H. Karwan, 1993. "Developing Conflict-Free Routes for Automated Guided Vehicles," Operations Research, INFORMS, vol. 41(6), pages 1077-1090, December.
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    Cited by:

    1. Ram Gopalan, 2015. "Computational complexity of convoy movement planning problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 82(1), pages 31-60, August.
    2. Azar Sadeghnejad-Barkousaraie & Rajan Batta & Moises Sudit, 2017. "Convoy movement problem: a civilian perspective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 14-33, January.
    3. Alan J. Maniamkot & P. N. Ram Kumar & Mohan Krishnamoorthy & Hamid Mokhtar & Sridharan Rajagopalan, 2022. "Hybridised ant colony optimisation for convoy movement problem," Annals of Operations Research, Springer, vol. 315(2), pages 847-866, August.
    4. Mokhtar, Hamid & Krishnamoorthy, Mohan & Dayama, Niraj Ramesh & Kumar, P.N. Ram, 2020. "New approaches for solving the convoy movement problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).

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