IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i5p694545.html
   My bibliography  Save this article

An Intelligent Traffic Flow Control System Based on Radio Frequency Identification and Wireless Sensor Networks

Author

Listed:
  • Kuei-Hsiang Chao
  • Pi-Yun Chen

Abstract

This study primarily focuses on the use of radio frequency identification (RFID) as a form of traffic flow detection, which transmits collected information related to traffic flow directly to a control system through an RS232 interface. At the same time, the sensor analyzes and judges the information using an extension algorithm designed to achieve the objective of controlling the flow of traffic. In addition, the traffic flow situation is also transmitted to a remote monitoring control system through ZigBee wireless network communication technology. The traffic flow control system developed in this study can perform remote transmission and reduce traffic accidents. And it can also effectively control traffic flow while reducing traffic delay time and maintaining the smooth flow of traffic.

Suggested Citation

  • Kuei-Hsiang Chao & Pi-Yun Chen, 2014. "An Intelligent Traffic Flow Control System Based on Radio Frequency Identification and Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 10(5), pages 694545-6945, May.
  • Handle: RePEc:sae:intdis:v:10:y:2014:i:5:p:694545
    DOI: 10.1155/2014/694545
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/694545
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/694545?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:10:y:2014:i:5:p:694545. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.