Applied Vehicle, Bicycle and Pedestrian Automated Counting Technologies for the Intelligent Mobility Meter

The Intelligent Mobility Meter (IMM) is a portable data acquisition and analysis platform for the collection of fine-grained statistics on pedestrian, cyclist and vehicular traffic. This project proposes to further improve the IMM performance while tackling challenges that affect the local governments in Southwestern Pennsylvania. Specifically, the research team proposes to: 1) collect novel real-world large-scale datasets of visual data that will help further improve the automated detection, classification and tracking algorithms of the IMM; and 2) provide real-world valuable traffic studies and actionable information to local government entities. To achieve this goals the project is partnering with the Municipality of Bethel Park and the City of Greensburg, and with leading engineering firm Michael Baker International. The local governments will guide the deployment of the meter to the locations that are most critical for infrastructure decision making and pledge to deploy the portable meters as necessary for the collection of the data. The CMU research group will use the data to improve the IMM algorithms and to analyze the specific traffic needs and challenges as requested by the municipalities. Finally, Michael Baker International will provide the necessary traffic engineering expertise and guidance so that the projects output will be useful and actionable for the municipalities.

Language

  • English

Project

  • Status: Active
  • Funding: $99838
  • Contract Numbers:

    69A3551747111

  • 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:

    Pires, Bernardo

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

Subject/Index Terms

Filing Info

  • Accession Number: 01677502
  • 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