• DocumentCode
    6668
  • Title

    A User-Customizable Urban Traffic Information Collection Method Based on Wireless Sensor Networks

  • Author

    Jin Zhou ; Chen, C.L.P. ; Long Chen ; Wei Zhao

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. of Macau, Taipa, China
  • Volume
    14
  • Issue
    3
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1119
  • Lastpage
    1128
  • Abstract
    Traffic monitoring can efficiently promote urban planning and encourage better use of public transport. Efficient traffic information collection is one important part of traffic monitoring systems. Based on a technique using wireless sensor networks (WSNs), this paper provides a flexible framework for regional traffic information collection in accordance with user request. This framework serves as a basis for future research in designing and implementing traffic monitoring applications. A two-layer network architecture is established for traffic information acquisition in the context of a WSN environment. In addition, a user-customizable data-centric routing scheme is proposed for traffic information delivery, in which multiple routing-related information is considered for decision-making to meet different user requirements. Simulations have shown good performance of the proposed routing scheme compared with other traditional routing schemes on a real-world urban traffic network.
  • Keywords
    automated highways; decision making; telecommunication network routing; telecommunication traffic; traffic information systems; wireless sensor networks; WSN environment; data centric routing scheme; decision-making; multiple routing related information; public transport; traffic information acquisition; traffic monitoring systems; user customizable urban traffic information collection method; wireless sensor networks; Multiattribute decision-making (MADM); traffic information collection; wireless sensor networks (WSNs);
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2013.2252902
  • Filename
    6493443