• DocumentCode
    477980
  • Title

    Resources Dispatch Model of Meeting Fatal Forest Disasters Emergency

  • Author

    Wu, Da-sheng ; Yu, Qin-fen ; Huang, Mei-li ; Liu, Li-juan

  • Author_Institution
    Sch. of Inf. Eng., Zhejiang Forestry Coll., Lin´´an
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    617
  • Lastpage
    620
  • Abstract
    When fatal forest disasters take place, only one retrieval depot usually can not provide enough supplies to resolve the emergency. So the problem about how to combine multi-depot-multi-resource has been put forward. The main objective of the multi-resource scheduling is how to achieve the least emergency time and the fewest retrieval depots. In this scheduling algorithm, there are mainly two factors that restrict the emergency time. One is path length, and the other is traffic road quality. Because the forest disaster usually takes place in remote mountain area, the factor of traffic road quality is very important. Therefore the least time (tij) should be the optimal solution about the shortest path (dij) and the road quality parameter (qij). In this paper, taking a forest area as experiments region, we achieved some results mainly in the following aspects: (1) determined the value of qij through the experiment; (2) established the least emergency time model; (3) built the emergency resources scheduling optimal model in forest fatal disaster for meeting fewest rescue depots based on the fastest emergency time.
  • Keywords
    disasters; emergency services; forestry; resource allocation; road traffic; scheduling; fatal forest disaster emergency; multi depot multi resource; multiresource scheduling algorithm; remote mountain area; resource dispatch model; shortest path; traffic road quality; Educational institutions; Forestry; Fuzzy systems; Information retrieval; Knowledge engineering; Layout; Roads; Routing; Scheduling algorithm; Forest Disasters; Meet an emergency; Resources Dispatch model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.238
  • Filename
    4666458