• DocumentCode
    663358
  • Title

    Balancing workloads of service vehicles over a geographic territory

  • Author

    Carlsson, John Gunnar ; Carlsson, Erik ; Devulapalli, Raghuveer

  • Author_Institution
    Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2013
  • fDate
    3-7 Nov. 2013
  • Firstpage
    209
  • Lastpage
    216
  • Abstract
    Autonomous vehicles (or drones) are very frequently used for servicing a geographic region in numerous applications. Given a geographic territory and a set of n fixed vehicle depots, we consider the problem of designing service districts so as to balance the workload of a collection of vehicles which service this region. We assume that the territory is a connected polygonal region, i.e. a simply connected polygon containing a set of simply connected obstacles. We give a fast algorithm, based on an infinite-dimensional optimization formulation, that divides the territory into compact, connected sub-regions, each of which contains a vehicle depot, such that all regions have equal area. We also show how we can use this algorithm to find better locations of the vehicle depots.
  • Keywords
    autonomous aerial vehicles; collision avoidance; mobile robots; optimisation; autonomous vehicles; drones; geographic territory; infinite-dimensional optimization formulation; service districts design; service vehicles; simply connected polygon; vehicle collection; vehicle depot; workload balancing; Algorithm design and analysis; Indexes; Linear programming; Optimization; Partitioning algorithms; Vectors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2153-0858
  • Type

    conf

  • DOI
    10.1109/IROS.2013.6696355
  • Filename
    6696355