Development of a Network-Level Data-Driven High Friction Surface Treatment Location Selection Approach Leveraging Remote Sensing Technologies
High Friction Surface Treatment (HFST) is an effective countermeasure for reducing crashes at horizontal curves, yet current site selection practices rely heavily on historical crash data and manual field inspections. These approaches limit agencies’ ability to proactively identify high-risk locations and efficiently allocate limited safety resources. This project addresses these limitations by developing a scalable, data-driven framework for HFST site prioritization at the network level. The research will create an automated data-processing pipeline that extracts roadway geometry and surface characteristics from mobile LiDAR and video log imagery, including curve radius, superelevation, signage, and surface condition. These features will be integrated with pavement condition and crash data to identify high-risk and constructible HFST locations. The approach will be validated through a case study using Massachusetts Department of Transportation (MassDOT) roadway and crash data. Results will provide transportation agencies with a transferable methodology for proactive HFST deployment, improving safety outcomes and supporting more efficient infrastructure management.
Language
- English
Project
- Status: Active
- Funding: $200,000.00
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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 Massachusetts, Amherst
Department of Civil and Environmental Engineering
130 Natural Resources Road
Amherst, MA United States 01003 -
Principal Investigators:
Ai, Chengbo
Gerasimidis, Simos
- Start Date: 20260101
- Expected Completion Date: 20261231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Subprogram: University Transportation Centers
Subject/Index Terms
- TRT Terms: Crash data; Friction course; High risk locations; Highway curves; Pavement condition; Remote sensing; Surface treating
- Subject Areas: Data and Information Technology; Highways; Pavements; Safety and Human Factors;
Filing Info
- Accession Number: 01974413
- Record Type: Research project
- Source Agency: New England University Transportation Center
- Contract Numbers: 69A3552348301
- Files: UTC, RIP
- Created Date: Dec 18 2025 2:36PM