• DocumentCode
    3288049
  • Title

    A two-tier solution for disaster relief management

  • Author

    Yusoff, Mariana ; Ariffin, Junaidah ; Mohamed, Amr

  • Author_Institution
    Intell. Syst. Group, Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    Disaster relief management is essential for various types of disasters such as terrorist attacks, hazardous materials, hurricanes and flash floods. Planning for disaster relief is important in rescuing victims with the involvement of many agencies and the public in managing the event. This is due to poor coordination, late assistance and uneven distribution of vehicles, food, and medical assistants. Time and cost are very important in disaster relief. The need for a proper disaster relief plan to overcome these issues is crucial. This paper presents a two tier solutions to relieve flood victims focuses on the evacuation. The first tier is to complete the task of vehicles assignment at the inundated area. Then, the routing of vehicles from inundated areas to relief centres. A discrete particle swarm optimization were employed and tested reflecting the fitness functions identified from each tier. The findings show that the two- tier solution provides good results for the evacuation plan.
  • Keywords
    emergency management; floods; particle swarm optimisation; planning; vehicle routing; disaster relief management; discrete particle swarm optimization; evacuation plan; fitness function; flood victims; inundated area; relief centres; two-tier solution; vehicle assignment task; vehicle routing; Floods; Genetic algorithms; Industrial electronics; Particle swarm optimization; Planning; Routing; Vehicles; disaster relief management; discrete particle swarm optimization; evacuation planning; vehicle assignment; vehicle routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ISIEA), 2013 IEEE Symposium on
  • Conference_Location
    Kuching
  • Print_ISBN
    978-1-4799-1124-0
  • Type

    conf

  • DOI
    10.1109/ISIEA.2013.6738991
  • Filename
    6738991