• DocumentCode
    2816881
  • Title

    Application research of ground shortest path based on GIS in the Emergency Rescue Information Management System for airport airside

  • Author

    Xin, Chen ; Fan, Dongtao ; Guo, Xiucheng

  • Author_Institution
    Transp. Coll., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    5632
  • Lastpage
    5635
  • Abstract
    Aviation safety is the base for the operation of air transportation system. It plays a significant role in maneuvering accidents quickly and efficiently. In this paper, the network of airport on the airside was analyzed from the aspect of aviation safety; then a nodes-arcs relation database was built to describe the airside network topology and the Dijkstra algorithm was employed to search the shortest path between the nodes. At last, MapX and a GIS re-developing tool were used to carry out the Emergency Rescue Information Management System development for a domestic large-scale airport under the Visual Basic environment. This system can provide supports for visual and convenient decision-making in airport emergency rescue events; and also expand MapX´s spatial analyzing ability to develop an applied GIS system.
  • Keywords
    Visual BASIC; air safety; airports; decision making; emergency services; geographic information systems; information management; visual programming; Dijkstra algorithm; GIS; MapX; Visual Basic environment; air transportation system; airport airside; airside network topology; aviation safety; decision making; domestic large scale airport; emergency rescue information management system; ground shortest path; nodes-arcs relation database; Airports; Decision making; Geographic Information Systems; Roads; Safety; Visual BASIC; MapX; airport airside; aviation safety; emergency rescue; shortest path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5988304
  • Filename
    5988304