Identification of Potentially Hazardous Roadway Network Locations Using Microscopic Observational Vehicle Data and Macroscopically Modeled Reaction Time

The state of the practice in safety analysis for identifying hazardous locations and determining appropriate countermeasures is documented in the Highway Safety Manual and is founded on statistical analysis of crash occurrences. With the proliferation of technologies for gathering detailed, trajectory-level data from vehicles in the transportation system, investigation into identifying potentially hazardous locations through non-crash driver behavior and non-crash events is well-motivated. Furthermore, the macroscopic flow model equivalent to the so-called Gazis-Herman-Rothery (GHR) car following model provides a yet untapped means to estimate the reaction time necessary for asymptotic stability using the data from fixed-point sensors that measure flow, speed, and occupancy. As with the microscopic observational data, this empirically derived reaction time should also be investigated as a means to identify hazardous location from archived traffic condition data rather than relying solely on observed crashes. This collaborative research effort will determine if either of both of these approaches can be exploited as valid and robust indicators of hazardous locations without the need to wait for crashes to occur. The potential safety benefits are significant. Even though the availability of microscopic observational data is likely to become widespread as the move into the world of connected vehicles unfolds. The research will aim to correlate the macroscopically derived reaction times with microscopically observed driver behaviors, such as hard decelerations and/or extreme avoidance maneuvers. If a strong correlation can be demonstrated, pro-active identification of hazardous sites using archived traffic condition data could emerge as an important alternative or complement to traditional statistical crash analysis.

Language

  • English

Project

  • Status: Active
  • Funding: $123968.00
  • Contract Numbers:

    DTRT13-G-UTC30

    NTC2015-MU-R-07

  • Sponsor Organizations:

    National Transportation Center @ Maryland

    1173 Glenn L. Martin Hall
    University of Maryland
    College Park, Maryland  United States  20742
  • Project Managers:

    Zhang, Lei

  • Performing Organizations:

    Louisiana State University, Baton Rouge

    Civil & Environmental Engineering Department
    3418A Patrick Taylor Hall
    Baton Rouge, Louisiana  United States  70803

    North Carolina State University

    Department of Civil Engineering, Campus Box 7908
    Raleigh, NC  United States  27695-7908
  • Principal Investigators:

    Wolshon, Brian

    Williams, Billy

  • Start Date: 20150516
  • Expected Completion Date: 0
  • Actual Completion Date: 20160515
  • Source Data: RiP Project 39045

Subject/Index Terms

Filing Info

  • Accession Number: 01578277
  • Record Type: Research project
  • Source Agency: National Transportation Center @ Maryland
  • Contract Numbers: DTRT13-G-UTC30, NTC2015-MU-R-07
  • Files: UTC, RiP
  • Created Date: Oct 21 2015 1:00AM