• DocumentCode
    165187
  • Title

    Unmanned aerial vehicles routing problem

  • Author

    Teichmann, Daniel ; Dorda, Michal ; Vitek, Jakub ; Smrz, Vladimir ; Michalik, Vladimir

  • Author_Institution
    Inst. of Transp., VrB - Tech. Univ. of Ostrava, Ostrava, Czech Republic
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    602
  • Lastpage
    607
  • Abstract
    The article deals with the problem of optimal routing for unmanned aerial vehicles. The unmanned aerial vehicle flights are planned for different purposes. In our article we deal with the situation when the unmanned aerial vehicle flights are planned to search for objects located in some predefined areas. These objects can represent, for example, a lost aircraft or a group of missing people. In the design of the model we suppose that the areas, in which the objects could be found with high probability, are identifiable. The article presents a mathematical model for solving the defined problem and an experiment which is used to validate the functionality of the model. The model is designed by means of mathematical programming methods.
  • Keywords
    autonomous aerial vehicles; probability; vehicle routing; mathematical model; mathematical programming methods; optimal routing problem; unmanned aerial vehicle flight planning; unmanned aerial vehicles routing problem; Atmospheric modeling; Mathematical model; Routing; Search problems; Software; Unmanned aerial vehicles; Unmanned aerial vehicles; mathematical programming; routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ICCC), 2014 15th International Carpathian
  • Conference_Location
    Velke Karlovice
  • Print_ISBN
    978-1-4799-3527-7
  • Type

    conf

  • DOI
    10.1109/CarpathianCC.2014.6843676
  • Filename
    6843676