Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements

The goal of this project is to examine whether traffic volume estimates developed from disruptive technologies such as cell phones, global positioning system (GPS)/Bluetooth devices, and alternative data sources (e.g., demographic, socioeconomic, land use data) can be used confidently and accurately to support data-driven safety analysis (i.e., network screening) to meet the 2016 Highway Safety Improvement Program (HSIP) Final Rule requirements. The main research questions include: What is the expected accuracy of Annual Average Daily Traffic (AADT) estimates developed from disruptive technologies? How does the AADT accuracy vary by roadway functional class for urban and rural roads? What is the average penetration rate of disruptive data sources? What is the impact of underestimating or overestimating AADT on data-driven safety analysis? This research involves conducting a review of the literature; gathering and integrating several datasets from Texas and Virginia such as crash, roadway, and traffic data, including AADT estimates developed from disruptive data sources; performing a statistical analysis and validating AADT estimates from disruptive technologies; and conducting an impact analysis to determine how AADT estimation errors can affect the results of safety analysis.

Language

  • English

Project

  • Status: Active
  • Funding: $1607000
  • 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:

    Texas A&M Transportation Institute

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135

    Virginia Tech Transportation Institute

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

    Tsapakis, Ioannis

  • Start Date: 20190801
  • Expected Completion Date: 20210228
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01701518
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center
  • Contract Numbers: 69A3551747115
  • Files: UTC, RiP
  • Created Date: Apr 8 2019 2:00PM