Portable and Integrated Multi-Sensor System for Data- Driven Performance Evaluation of Urban Transportation Networks

In urban areas, obstructions of traffic such as double parking, commercial vehicle deliveries, pedestrian jaywalking, taxi pick-ups and drop-offs, are potential impediments to road capacity and vehicular speed, and causes traffic delay as well as safety risks. In 2014, double parking violation had 502,082 ticketed cases in New York City according to New York City Department of Finance (NYCDOF) records. New York City and many urban areas need to keep track of the impacts of these violations on their transportation system as well as on the residents of the city. Hence there is a strong need to develop robust methodologies to monitor these activities and analyze their potential impacts that can be in the form of longer travel times, crashes, emissions, or noise pollution. Due to the advances in sensors and computing, obtaining information related to the parking, individual vehicle or pedestrian trajectories has become remarkably feasible. Video cameras coupled with computer vision algorithms can provide very accurately, detect, track and classify vehicles. Similarly relatively inexpensive mobile sensors for measuring noise and emission levels have also become commercially available. However, integrated inexpensive multi-sensor solutions that combine these sensing solutions are not yet commercially available.


  • English


  • Status: Completed
  • Funding: $15510
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    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 University CUSP

    1 MetroTech Center, 19th Floor
    Brooklyn, NY  United States  11201
  • Principal Investigators:

    Ozbay, Kaan

    Yang, Hong

  • Start Date: 20160901
  • Expected Completion Date: 20180131
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01612649
  • Record Type: Research project
  • Source Agency: University Transportation Research Center
  • Contract Numbers: 49198-41-28
  • Files: UTC, RIP
  • Created Date: Oct 3 2016 4:46PM