IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2021i1p83-d712016.html
   My bibliography  Save this article

Multi-UAV Coverage Path Planning Based on Hexagonal Grid Decomposition in Maritime Search and Rescue

Author

Listed:
  • Sung-Won Cho

    (Maritime Safety and Environmental Research Division, Korea Research Institute of Ships and Ocean Engineering, 32, Yuseong-daero 1312 beon-gil, Yuseong-gu, Daejeon 34103, Korea)

  • Jin-Hyoung Park

    (Maritime Safety and Environmental Research Division, Korea Research Institute of Ships and Ocean Engineering, 32, Yuseong-daero 1312 beon-gil, Yuseong-gu, Daejeon 34103, Korea)

  • Hyun-Ji Park

    (Maritime Safety and Environmental Research Division, Korea Research Institute of Ships and Ocean Engineering, 32, Yuseong-daero 1312 beon-gil, Yuseong-gu, Daejeon 34103, Korea)

  • Seongmin Kim

    (Department of Software, Korea Aerospace University, 76, Hanggongdaehak-ro, Deogyang-gu, Goyang-si 10540, Korea)

Abstract

In the event of a maritime accident, surveying the maximum area efficiently in the least amount of time is crucial for rescuing survivors. Increasingly, unmanned aerial vehicles (UAVs) are being used in search and rescue operations. This study proposes a method to generate a search path that covers all generated nodes in the shortest amount of time with multiple heterogeneous UAVs. The proposed model, which is a mixed-integer linear programming (MILP) model based on a hexagonal grid-based decomposition method, was verified through a simulation analysis based on the performance of an actual UAV. This study presents both the optimization technique’s calculation time as a function of the search area size and the various UAV routes derived as the search area grows. The results of this study can have wide-ranging applications for emergency search and rescue operations.

Suggested Citation

  • Sung-Won Cho & Jin-Hyoung Park & Hyun-Ji Park & Seongmin Kim, 2021. "Multi-UAV Coverage Path Planning Based on Hexagonal Grid Decomposition in Maritime Search and Rescue," Mathematics, MDPI, vol. 10(1), pages 1-15, December.
  • Handle: RePEc:gam:jmathe:v:10:y:2021:i:1:p:83-:d:712016
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/1/83/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/1/83/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abi-Zeid, Irene & Frost, John R., 2005. "SARPlan: A decision support system for Canadian Search and Rescue Operations," European Journal of Operational Research, Elsevier, vol. 162(3), pages 630-653, May.
    2. Mumtaz Karatas & Nasuh Razi & Murat M. Gunal, 2017. "An ILP and simulation model to optimize search and rescue helicopter operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1335-1351, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Karatas, Mumtaz, 2021. "A dynamic multi-objective location-allocation model for search and rescue assets," European Journal of Operational Research, Elsevier, vol. 288(2), pages 620-633.
    2. Yu Guo & Yanqing Ye & Qingqing Yang & Kewei Yang, 2019. "A Multi-Objective INLP Model of Sustainable Resource Allocation for Long-Range Maritime Search and Rescue," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    3. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    4. Mumtaz Karatas & Nasuh Razi & Murat M. Gunal, 2017. "An ILP and simulation model to optimize search and rescue helicopter operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1335-1351, November.
    5. Vasileios Kosmas & Michele Acciaro & Maria Besiou, 2022. "Saving migrants’ lives at sea: Improving search and rescue operations," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1872-1889, April.
    6. R B Van der Meer & J Quigley & J E Storbeck, 2005. "Using regression analysis to model the performance of UK Coastguard centres," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 630-641, June.
    7. 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.
    8. Adel Guitouni & Hatem Masri, 2014. "An orienteering model for the search and rescue problem," Computational Management Science, Springer, vol. 11(4), pages 459-473, October.
    9. Karatas, Mumtaz & Yakıcı, Ertan, 2019. "An analysis of p-median location problem: Effects of backup service level and demand assignment policy," European Journal of Operational Research, Elsevier, vol. 272(1), pages 207-218.
    10. Donatien Agbissoh OTOTE & Benshuai Li & Bo Ai & Song Gao & Jing Xu & Xiaoying Chen & Guannan Lv, 2019. "A Decision-Making Algorithm for Maritime Search and Rescue Plan," Sustainability, MDPI, vol. 11(7), pages 1-16, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2021:i:1:p:83-:d:712016. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.