• DocumentCode
    158354
  • Title

    Receding horizon multi-vehicle routing for emergency scenarios

  • Author

    Chini, G. ; Poli, C. ; Oddi, G. ; Pietrabissa, A. ; Grigioni, M.

  • Author_Institution
    Dept. of Comput., Univ. of Rome Sapienza, Rome, Italy
  • fYear
    2014
  • fDate
    16-19 June 2014
  • Firstpage
    374
  • Lastpage
    379
  • Abstract
    This paper deals with dynamic Multi-Vehicle Routing Problem in both deterministic and stochastic scenarios; the objective is to find the best paths for a fleet of vehicles, with the aim of visiting a set of targets. Based on the Cooperative Receding Horizon approach proposed in [4] for the Euclidean case, this paper i) develop a routing algorithm for graph-represented mission spaces, ii) presents a switching algorithm, which is able to dynamically change the vehicle behaviour according to the time-variable configuration of both vehicles and targets, as well as to handle the discovery of unknown targets. Simulations show the algorithm effectiveness.
  • Keywords
    emergency management; graph theory; vehicle routing; cooperative receding horizon approach; emergency scenario; graph-represented mission spaces; multivehicle routing problem; receding horizon multivehicle routing; routing algorithm; switching algorithm; time-variable configuration; vehicle fleet; Equations; Heuristic algorithms; Routing; Space missions; Space vehicles; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (MED), 2014 22nd Mediterranean Conference of
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4799-5900-6
  • Type

    conf

  • DOI
    10.1109/MED.2014.6961400
  • Filename
    6961400