Behavior-based Predictive Safety Analytics Phase II

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 an automated driving systems. This project continues work from a pilot study that created a proof-of-concept demonstration of how crash involvement may be predicted on the basis of individual driver behavior utilizing SHRP2 naturalistic data. The current project largely focuses on understanding and identifying the risks from a driver based on their real-time driving behaviors, personal characteristics, and environmental influences. This project seeks to analyze large scale continuous naturalistic data as well as event data, both public and proprietary, to study the role of different driving behaviors in the buildup of a safety critical event. This knowledge is transferred to build a continuous road-safety prediction system—a smartphone app developed and designed to best convey actionable analytics results. This involves issues such as identifying the most relevant type of information that should be displayed and in what format to the different end users, the driver or managers. In addition, a curriculum for undergraduate and graduate studies on behavior-based predictive safety analytics will be developed along with a module in graduate-level course.

Language

  • English

Project

  • Status: Active
  • Funding: $191534
  • Contract Numbers:

    69A3551747115

  • 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

    Texas A&M University, College Station

    318 Jack K. Williams Administration Building
    College Station, TX  United States  77843

    San Diego State University

    5500 Campanile Dr
    San Diego, CA  United States  92182
  • Principal Investigators:

    Miller, Andrew

  • Start Date: 20190301
  • Expected Completion Date: 20200831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01701519
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center
  • Contract Numbers: 69A3551747115
  • Files: UTC, RiP
  • Created Date: Apr 8 2019 2:13PM