• DocumentCode
    3753577
  • Title

    Enhancing Traffic Flow Using Vehicle Dashboard Traffic Lights with V2I Networks

  • Author

    Mustafa Al-Mashhadani;Wei Shu;Min-You Wu

  • Author_Institution
    ECE Dept., Univ. of New Mexico, Albuquerque, NM, USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The increasing number of vehicles nowadays makes it hard to manage traffic flow on the streets, especially when it comes to intersection management. This paper proposes the use of dashboard traffic lights (DTL), an intelligent traffic light system based on client-server communication that will use V2I (Vehicle-to- Intersection) network scheme to send request messages from moving vehicles to the intersection station that will analyze the request message and send back the decision message based on the intersection status. The average waiting time and the number of vehicles stopping at the intersection is significantly reduced.
  • Keywords
    "Vehicles","Roads","Artificial intelligence","Turning","Sensors","Green products","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2015.7417474
  • Filename
    7417474