Behavior-based Predictive Safety Analytics – Pilot Study

This project addresses the emerging field of behavior-based predictive safety analytics, focusing on the prediction of road crash involvement based on individual driver behavior characteristics. This has a range of applications in the areas of fleet safety management and insurance, but may also be used to evaluate the potential safety benefits of automated driving systems. A particular focus in the project is to explore the possibilities of using large sets of naturalistic crash and behavior data collected as part of commercial fleet- and behavior change management programs, collecting tens of thousands of crashes annually. Since this data is subject to legal, ethical and business-related constraints, an important activity in the project is to discuss with relevant stakeholders how barriers in using this data for academic research can be overcome. Moreover, a state-of-the-art review will be conducted and a conceptual framework for relating behavior to crash causation/risk developed. Based on this, a proof-of-concept demonstration of how crash involvement may be predicted on the basis of individual driver behavior will be performed, utilizing an available naturalistic dataset of sufficient size. Finally, a curriculum for undergraduate and graduate studies on behavior-based predictive safety analytics will be developed along with a module in graduate-level course. The present project is designed as an eight-month pilot initiative with the objective to provide the basis for a future more comprehensive research effort.


  • English


  • Status: Active
  • Funding: $72623
  • 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

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

    Harwood, Leslie

  • Performing Organizations:

    Virginia Tech Transportation Institute

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

    Miller, Andrew

    Sarkar, Abhijit

  • Start Date: 20170501
  • Expected Completion Date: 20180731
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01637029
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center
  • Contract Numbers: 69A3551747115
  • Files: UTC, RiP
  • Created Date: May 31 2017 1:11PM