Big Data for Safety Monitoring, Assessment, and Improvement

The objective of this Major Research Initiative (MRI) is to develop innovative programs to monitor, assess, and improve safety using Big Data. The MRI will provide a framework and a roadmap that can be used to plan, design, operate, and maintain data intensive safety systems, i.e., systems that can enhance safety by using historical and real-time data from several sources. By developing knowledge, tools, and products based on Big Data, the MRI will contribute to potential improvements in safety. The MRI focuses on safety data from a diverse set of sources that include radars, video, loop detectors, Bluetooth devices, global positioning system (GPS) devices, social media, and road weather information system (RWIS), merged with conventional data sources such as roadway parameters, roadside elements, land use, and planning data.

  • Supplemental Notes:
    • This is one task within STC's Major Research Initiative 4, Big Data for Safety Monitoring, Assessment, and Improvement .


  • English


  • Status: Active
  • 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
  • Performing Organizations:

    Center for Advanced Transportation Systems Simulation

    400 Central Florida Boulevard
    Orlando, FL  United States  32316-2450
  • Principal Investigators:

    Radwan, Essam

    Abdel-Aty, Mohamed

  • Start Date: 20140501
  • Expected Completion Date: 0
  • Actual Completion Date: 0
  • Source Data: RiP Project 40252

Subject/Index Terms

Filing Info

  • Accession Number: 01572479
  • Record Type: Research project
  • Source Agency: Southeastern Transportation Center
  • Contract Numbers: DTRT13-G-UTC34
  • Files: UTC, RiP
  • Created Date: Aug 8 2015 1:01AM