• DocumentCode
    2728110
  • Title

    A GPS navigation system based on the internet of Things platform

  • Author

    Hong Zhan ; Zhigang Wen ; Yuxin Wu ; Junwei Zou ; Shan Li

  • Author_Institution
    Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    160
  • Lastpage
    162
  • Abstract
    With the development of the society and the changes of the traffic information on the urban road, Optimal path is no longer simply the shortest distance on the geographical location, but also taking into account the real-time traffic information. Meanwhile, with the development of the computer technology, communication technology and geographical information technology, intelligent navigation brings more benefits to people. It can save the travel time and reduce energy consumption. On the other hand, using intelligent navigation, people can avoid roadblock, traffic jams, traffic accidents etc. Intelligent navigation can provide a safer and more reassuring environment. Combining with the Internet of Things, this paper proposes an improved routing algorithm for dynamic traffic navigation based on the Internet of Things platform. GPS will download the real-time traffic information by accessing the built Internet of Things platform, calculate the optimal path precisely, and then provide real-time and more intelligent navigation service for people.
  • Keywords
    Global Positioning System; computerised navigation; geography; traffic information systems; GPS navigation system; Internet of Things platform; dynamic traffic navigation; intelligent navigation; routing algorithm; traffic information; urban road; Feeds; Global Positioning System; Heuristic algorithms; Internet; Roads; Vehicle dynamics; Dijkstra Algorithm; GPS Navigation System; Internet of Things; Optimal Path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9699-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2011.5982279
  • Filename
    5982279