• DocumentCode
    599323
  • Title

    Uncertainty with STOS: Intelligent solution for uncertain navigation problems

  • Author

    Halaoui, Hatem F.

  • Author_Institution
    Comput. Sci. Dept., Haigazian Univ., Beirut, Lebanon
  • fYear
    2012
  • fDate
    10-12 Dec. 2012
  • Firstpage
    362
  • Lastpage
    367
  • Abstract
    Traffic direction systems in addition to other Geographical Information Systems (GIS) are becoming more popular every day. Applications like Yahoo maps, MapQuest, and Google Earth are online examples of such systems designed to help users locate their destinations or reach it. The need of Vehicles Global Positioning Systems (GPS) is also increasing. Calculating the best driving path (shorter in distance or faster in time) between two addresses is subject to many factors like distances, road situation, road traffic, road legal rules and others. Knowing whether we can make it to our destination on time is also a hard question and subject to additional factors like car situation, arrival time, moving time, traffic at destination, and others. In this paper we present our smart system STOS, which uses an intelligent algorithm and intelligent graph structure. We also extend STOS and use it with uncertainty factors that may affect our trip to give a logical answer of whether we can reach our destination on time.
  • Keywords
    artificial intelligence; automated highways; road traffic; traffic engineering computing; GIS; GPS; Google Earth; MapQuest; STOS system; Yahoo Maps; geographical information system; intelligent algorithm; intelligent graph structure; road distance; road legal rule; road situation; road traffic; smart traffic online system; traffic direction system; uncertain navigation problem; vehicle global positioning system; Databases; Heating; Radiation detectors; Roads; Artificial Intelligence; Driving paths; GIS; Intelligent Transport; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology And Secured Transactions, 2012 International Conference for
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-5325-0
  • Type

    conf

  • Filename
    6470831