Development of an Infrastructure Based Data Acquisition System (iDAS) to Naturalistically Collect the Roadway Environment

Roadways in the City of Virginia Beach have consistently ranked in the top 10 crash cluster locations in the state of Virginia, many of which occur at signal controlled intersections that control flow on to and off of the only major interstate in the City, I-264 [1]. Further, the Virginia Department of Transportation’s (VDOT) Pedestrian Action Plan has identified Pacific Avenue, a major oceanfront resort corridor, as a priority pedestrian crash cluster location [2]. The City, like many municipalities, has invested a significant amount of resources in digitizing their transportation system infrastructure. Such is evident at signal controlled intersections where a myriad of sensors such as vision-based cameras, thermal-based cameras, radars, loop detectors, Wi-Fi detectors, Bluetooth detectors and in some cases wireless Dedicated Short Range Communication (DSRC) Road Side Units (RSU) are integrated. However, such assets are used primarily to adapt signal controller Signal Phase and Timing (SPaT) based on traffic flow. An opportunity exists where the City’s infrastructure investment can be leveraged to collect, process, analyze and make safety suggestions based on the sensors’ observations at dangerous intersections in the City. This proposal seeks to understand the existing systems and how they can be leveraged to provide the City with insight and suggested countermeasures to address the safety issues on these roadways. In addition, this project seeks to develop methods to populate data from such sensors into formats that can be utilized by the industry to assist in the development of connected and automated vehicle safety systems.


  • English


  • Status: Active
  • Funding: $168706
  • 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:

    Safety through Disruption University Transportation Center (Safe-D)

    Virginia Tech Transportation Institute
    Blacksburg, VA  United States  24060
  • Project Managers:

    Glenn, Eric

  • Performing Organizations:

    Virginia Polytechnic Institute and State University, Blacksburg

    Virginia Tech Transportation Institute
    3500 Transportation Research Plaza
    Blacksburg, VA  United States  24061
  • Principal Investigators:

    Sarkar, Abhijit

  • Start Date: 20190101
  • Expected Completion Date: 20210131
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01701573
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center (Safe-D)
  • Contract Numbers: 69A3551747115
  • Files: UTC, RIP
  • Created Date: Apr 8 2019 4:47PM