Exploring Crowdsourced Monitoring Data for Safety

This project encompasses four different activities to explore safety applications of emerging crowd-sourced data and datasets available from commercial aggregators. The first activity examines systems used to monitor and count pedestrian activity. Developing crash rates for these vulnerable users depends on knowing the volume of activity. Data from metropolitan planning organizations as well as commercial and community-based reports of bicycle and pedestrian activity will be assessed for accuracy by comparing them to manual counts. The second activity will examine waypoint travel pattern data from a commercial data aggregator to determine its applicability to safety analyses. The evaluation will assess the geographic and temporal distribution and representativeness of the sample as well as how roadways of different functional classes are represented. The third activity will examine data from a crowd-sourced traveler information app to determine if incident reports in the app correspond to official incident records. The task will develop a data catalogue identifying data attributes, coverage areas, resolution of the data, and timeliness of the data. Overall these three exploratory efforts will provide future research projects an understanding of what is available from these new big data sources and how they could be used to improve safety.

Language

  • English

Project

  • Status: Active
  • Funding: $70000
  • 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
  • Principal Investigators:

    Turner, Shawn

  • Start Date: 20190301
  • Expected Completion Date: 20190831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01718311
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center
  • Contract Numbers: 69A3551747115
  • Files: UTC, RiP
  • Created Date: Sep 26 2019 2:33PM