• DocumentCode
    1784702
  • Title

    Research on Personalized Indoor Routing Algorithm

  • Author

    Weijun Bian ; Yucheng Guo ; Qizhi Qiu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2014
  • fDate
    24-27 Nov. 2014
  • Firstpage
    275
  • Lastpage
    277
  • Abstract
    As the mature GPS positioning technology cannot work well in indoor environment, there is no mature indoor navigation system for civil use. Besides indoor maps and indoor positioning technology, indoor routing algorithm is an important part of indoor navigation technology. This paper first discusses the problem of cross-storey in buildings and gives a solution. Unlike outdoor routing, shortest path is usually not the best path indoors, a personalized path considering user preference and interest can be better. To achieve personalized routing, this paper comes up with a way to model and acquire user preference. On this basis, this paper improves traditional A* algorithm by considering user preference and then gives an example to show the advantage of the personalized A* algorithm. The results show that the improved algorithm can find a better path by considering path length and user preference synthetically.
  • Keywords
    Global Positioning System; geographic information systems; indoor navigation; GPS positioning technology; buildings; cross-storey; indoor environment; indoor maps; indoor navigation system; indoor navigation technology; indoor positioning technology; personalized A* algorithm; personalized indoor routing algorithm; personalized path; shortest path; user preference; Buildings; Educational institutions; Global Positioning System; Heuristic algorithms; Routing; Vectors; indoor navigation; personalized; routing algorithm; user preference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2014 13th International Symposium on
  • Conference_Location
    Xian Ning
  • Print_ISBN
    978-1-4799-4170-4
  • Type

    conf

  • DOI
    10.1109/DCABES.2014.60
  • Filename
    6999103