Improving Crash Prediction Using GRIDSMART Infrastructure
"Improving Crash Prediction Using GRIDSMART Infrastructure" is a collaborative research project between the University of Connecticut and the University of Maine, in partnership with the Connecticut Department of Transportation (CTDOT). The study addresses the critical issue of intersection safety, noting that over 50% of all fatal and injury crashes occur at or near intersections, with left turn maneuvers accounting for a significant proportion of these crashes. The research aims to enhance Safety Performance Functions (SPFs) by integrating temporally varying data, such as continuous turning movement counts, into their development. This approach overcomes the limitations of traditional SPFs that mainly consider static measures like the two-way annual average daily traffic (AADT). The project will utilize GRIDSMART technology, a system implemented for traffic signal management, to collect detailed turning and through movements of various road users at intersections. This data will be used to develop more precise and dynamic SPFs, considering factors like bicycle and pedestrian counts, road geometry, and surrounding land development intensity. The dependent variables in the study will include annual crash counts by manner of collision, categorized by the direction of travel of the involved vehicles. The methodology involves collecting raw data using GRIDSMART, identifying relevant variables, and selecting intersections based on data quality for analysis. The team will perform temporal aggregation of data and classify crashes by manner of collision. The resulting analysis aims to determine whether turning movements are significant predictors of crashes and how improvements to GRIDSMART infrastructure could enhance intersection safety.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $178000
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Contract Numbers:
69A3552348301
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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:
University of Massachusetts, Amherst
Department of Civil and Environmental Engineering
130 Natural Resources Road
Amherst, MA United States 01003 -
Performing Organizations:
University of Connecticut, Storrs
Connecticut Transportation Institute
270 Middle Turnpike, Unit 5202
Storrs, CT United States 06269-5202 Department of Civil and Environmental Engineering.
5717 Corbett Hall
Orono, ME United States 04469-5711 -
Principal Investigators:
Ivan, John
Shirazi, Mohammadali
Filipovska, Monika
- Start Date: 20240101
- Expected Completion Date: 20241231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Subprogram: University Transportation Centers
Subject/Index Terms
- TRT Terms: Crash rates; Crash risk forecasting; Data collection; Highway safety; Intersections; Left turns; Traffic crashes; Turning traffic
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01905231
- Record Type: Research project
- Source Agency: New England University Transportation Center
- Contract Numbers: 69A3552348301
- Files: UTC, RIP
- Created Date: Jan 22 2024 9:44AM