• DocumentCode
    3187806
  • Title

    An improved best path methodology for mobile GIS based on A* algorithm

  • Author

    Tian, Gen ; Wang, Fang ; Li, Jian

  • Author_Institution
    Dept. of Geo-Inf., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    2775
  • Lastpage
    2778
  • Abstract
    An improved best path method for mobile geographic information system (GIS) based on A* algorithm is studied in this paper. Key technologies are presented in the methodology, including mobile GIS framework, spatial data bases, electronic map display, global positional system (GPS) communications, and the best path based on A* algorithm. In order to deal with the problem between the limited processing speed and low memory of pocket pc with the high speed inquire of mobile GIS, an improved best path method based on A* algorithm is further proposed that has good stability, practicality and efficiency, and thus suitable for pocket pc. Considering of the the hardware limited property of pocket pc, the best path and other related method are built originally from the base.A mobile GIS system integrated with the improved A* algorithm is therefore developed authorship by embedded visual c++. A field test is carried out through this system by Jiaozuo spatial data, and the results show that the proposed methodologies are feasible and adaptable for mobile GIS.
  • Keywords
    C++ language; Global Positioning System; geographic information systems; mobile computing; notebook computers; search problems; A* algorithm; Jiaozuo spatial data; electronic map display; global positional system communications; improved best path methodology; mobile GIS framework; mobile geographic information system; pocket pc; visual C++; Algorithm design and analysis; Arrays; Geographic Information Systems; Global Positioning System; Mobile communication; Personal digital assistants; Spatial databases; A* Algorithm; Access DateBase; GPS; Heuristic Search Algorithm; mobile GIS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6011329
  • Filename
    6011329