• DocumentCode
    3517015
  • Title

    A Study of Distributed Traffic Information Acquisition Based on Clustered VANET

  • Author

    Wang Yizhi ; Hu Jianming ; Wang Qi ; Zhang Yi

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 Nov. 2010
  • Firstpage
    143
  • Lastpage
    148
  • Abstract
    Inter-Vehicle Communication (IVC), which combines traditional traffic theory and network technology together, has drawn increasing research interests in recent years. This paper proposes a prototype of distributed traffic information acquisition based on IVC. Here, equipped vehicles act as moving sensors and form a Wireless Sensor Network (WSN) which takes charge of traffic information acquisition, sharing and fusion. Road-side stations as local access points can collect distributed real-time traffic information and upload it to superior network Traffic Management Centers (TMC). In this paper, a complete analysis and comparison on traffic information acquisition based on clustered VANET and common multi-hop VANET is studied, including the total network load, routing methods etc. And we also establish a simulation platform to realize and validate all these methods or systems. Finally, a clustered network structure is recommended because of its more utilization of network resource and better communication quality.
  • Keywords
    distributed processing; traffic information systems; vehicular ad hoc networks; wireless sensor networks; clustered VANET; clustered network structure; distributed real time traffic information; distributed traffic information acquisition; intervehicle communication; network technology; traffic management centers; traffic theory; wireless sensor network; Clustered VANET; Communication Load; Distributed Traffic Information Acquisition; Multi-hop VANET; Simulation Platform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
  • Conference_Location
    Haiko
  • Print_ISBN
    978-1-4244-8683-0
  • Type

    conf

  • DOI
    10.1109/ICOIP.2010.41
  • Filename
    5663278