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Exploration of a disrupted road network after a disaster with an online routing algorithm

Author

Listed:
  • Lorena Reyes-Rubiano

    (University of Natural Resources and Life Sciences)

  • Jana Voegl

    (University of Natural Resources and Life Sciences)

  • Klaus-Dieter Rest

    (University of Natural Resources and Life Sciences)

  • Javier Faulin

    (Public University of Navarra)

  • Patrick Hirsch

    (University of Natural Resources and Life Sciences)

Abstract

This paper considers the problem of supporting immediate response operations after a disaster with information about the available road network to reach certain locations. We propose an online algorithm that aims to minimize the route length required by an unmanned aerial vehicle (UAV) to explore the road accessibility of potential victim locations. It is assumed that no information about disruptions in the road network is available at the start of the exploration. The online algorithm applies two movement and three orientation strategies. Additionally, a cutting strategy is used to restrict the search space after new information about the state of single roads is obtained. We consider a road and an aerial network for the movements of the UAV, since it is not necessary to follow the route of a road any longer, if it can be marked as disrupted. In extensive numerical studies with artificial and real-world test instances, it is evaluated for different disruption levels, which combinations of movement and orientation strategies perform best. Additionally, we propose different refuelling strategies for the UAV and present how they differ in the number of refuelling operations and the required additional route length. The results show that an efficient online algorithm can save valuable exploration time.

Suggested Citation

  • Lorena Reyes-Rubiano & Jana Voegl & Klaus-Dieter Rest & Javier Faulin & Patrick Hirsch, 2021. "Exploration of a disrupted road network after a disaster with an online routing algorithm," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 289-326, March.
    • Handle: RePEc:spr:orspec:v:43:y:2021:i:1:d:10.1007_s00291-020-00613-w
    DOI: 10.1007/s00291-020-00613-w
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    References listed on IDEAS

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    1. Pereira Coutinho, Walton & Fliege, Jörg & Battarra, Maria, 2019. "Glider Routing and Trajectory Optimisation in disaster assessment," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1138-1154.
    2. Oruc, Buse Eylul & Kara, Bahar Yetis, 2018. "Post-disaster assessment routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 76-102.
    3. Raissa Zurli Bittencourt Bravo & Adriana Leiras & Fernando Luiz Cyrino Oliveira, 2019. "The Use of UAVs in Humanitarian Relief: An Application of POMDP‐Based Methodology for Finding Victims," Production and Operations Management, Production and Operations Management Society, vol. 28(2), pages 421-440, February.
    4. Henk Akkermans & Luk N. Van Wassenhove, 2018. "Supply Chain Tsunamis: Research on Low†Probability, High†Impact Disruptions," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(1), pages 64-76, January.
    5. Duygu Pamukcu & Burcu Balcik, 2020. "A multi-cover routing problem for planning rapid needs assessment under different information-sharing settings," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 1-42, March.
    6. Farahani, Reza Zanjirani & Lotfi, M.M. & Baghaian, Atefe & Ruiz, Rubén & Rezapour, Shabnam, 2020. "Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations," European Journal of Operational Research, Elsevier, vol. 287(3), pages 787-819.
    7. S.A. Torabi & J. Namdar & S.M. Hatefi & F. Jolai, 2016. "An enhanced possibilistic programming approach for reliable closed-loop supply chain network design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1358-1387, March.
    8. Özdamar, Linet & Ertem, Mustafa Alp, 2015. "Models, solutions and enabling technologies in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 244(1), pages 55-65.
    9. Huang, Michael & Smilowitz, Karen R. & Balcik, Burcu, 2013. "A continuous approximation approach for assessment routing in disaster relief," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 20-41.
    10. Mahyar Eftekhar & Andrea Masini & A. Robotis & Luk van Wassenhove, 2014. "Vehicle Procurement Policy for Humanitarian Development Programs," Post-Print hal-01066490, HAL.
    11. Zhalechian, M. & Torabi, S. Ali & Mohammadi, M., 2018. "Hub-and-spoke network design under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 20-43.
    12. Chao, I-Ming & Golden, Bruce L. & Wasil, Edward A., 1996. "The team orienteering problem," European Journal of Operational Research, Elsevier, vol. 88(3), pages 464-474, February.
    13. Elçi, Özgün & Noyan, Nilay, 2018. "A chance-constrained two-stage stochastic programming model for humanitarian relief network design," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 55-83.
    14. Mahyar Eftekhar & Andrea Masini & Andreas Robotis & Luk N. Van Wassenhove, 2014. "Vehicle Procurement Policy for Humanitarian Development Programs," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 951-964, June.
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