Real-time traffic monitoring and prediction for Cranberry Township

Cranberry Township is a Progressive Municipality that works to maintain traffic efficiency on its transportation networks. Cranberry Township's unique Geographical location at the junction of Interstate 79 and the Pa 376 (Pa Turnpike) can pose interesting challenges in coordinated operations. Specifically, the Township operates a Coordinated Signal System that relies on historically Generated Signal Timings, coupled with real time technology to manage day to day operations on the local network. Unfortunately, any scheduled or unscheduled events on the limited access highways can cause havoc with efficient operation. Together the research team is proposing to incorporate real time data inputs monitored from both social media and INRIX against historical INRIX data from these limited access highways to trigger predictions of traffic delays. These predictions could then be directed to several directives, such as dynamic message boards, smart phone applications, social media and text messages, to alert the public of the anticipated delay. Those predictions also alert the Cranberry traffic system of the issue to allow for adjustments to the operating traffic plan on the real-time basis.


  • English


  • Status: Completed
  • Funding: $60000
  • Contract Numbers:


  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility 21 National UTDOT for Mobility of Goods and People

    Office of the Assistant Secretary for Research and Technology

    University Transportation Program
  • Managing Organizations:

    Carnegie Mellon Univeristy

    Mobility 21 National UTDOT for Mobility of Goods and People
  • Project Managers:

    Schweyer, Lisa Kay

  • Performing Organizations:

    Carnegie Mellon University

  • Principal Investigators:

    Qian, Sean

  • Start Date: 20170901
  • Expected Completion Date: 20181231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01677499
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: Aug 7 2018 12:04PM