wirTraffic Prediction using Wireless Cellular Networks

The major objective of this project is to obtain traffic information accurately from existing wireless infrastructure. In this project freeway traffic will be identified and modeled using data obtained from existing wireless cellular networks. Most of the previous research on freeway traffic control assumes the availability of traffic parameters like vehicle velocity and density. Such data is available only at a few locations on major highways where sensor nodes have been pre-deployed. In practical terms, to build a comprehensive network of sensors for this purpose is prohibitive in terms of the cost involved. However, an existing cellular network of a large wireless provider can be used for collecting traffic parameter information. As mobile devices have become very common, these devices can not only provide traffic parameter data but can also be used to receive real time traffic information using mobile applications.


  • English


  • Status: Completed
  • Funding: $170270.00
  • Contract Numbers:


  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    University Transportation Research Center

    City College of New York
    Marshak Hall, Suite 910, 160 Convent Avenue
    New York, NY  United States  10031
  • Project Managers:

    Eickemeyer, Penny

  • Performing Organizations:

    New York Institute of Technology (NYIT)

    1855 Broadway (at 61st Street)
    New York, NY  United States  10023
  • Principal Investigators:

    Wadoo, Dr. Sabiha

  • Start Date: 20140401
  • Expected Completion Date: 0
  • Actual Completion Date: 20160331
  • Source Data: RiP Project 36361

Subject/Index Terms

Filing Info

  • Accession Number: 01521836
  • Record Type: Research project
  • Source Agency: University Transportation Research Center
  • Contract Numbers: 49198-11-26
  • Files: UTC, RIP
  • Created Date: Apr 9 2014 1:00AM