Calibration of HSM Predictive Methods on Rural State and Local Highways
Defining safety performance expectations is a challenge for transportation agencies. The Highway Safety Manual (HSM) of the American Association of State Highway and Transportation Officials (AASHTO) provides guidance for safety analysis using scientific and statistically sound methods. Given the expense of engineering studies and limited funding, safety reviews based on expected safety performance are a useful way to identify hot spots in a highway network as well as sight-specific safety problems. Predictive crash models, as formulated in Equation 1, pinpoint sites with great promise for crash reduction on the basis of decades of safety research and statistical analysis.
Language
- English
Project
- Status: Active
- Funding: $100000
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Contract Numbers:
DTRT12-G-UTC08
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Sponsor Organizations:
Research and Innovative Technology Administration
University Transportation Centers Program
1200 New Jersey Avenue, SE
Washington, DC United States 20590Federal Highway Administration
Office of Infrastructure, 1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
Kline, Robin
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Performing Organizations:
South Dakota State University, Brookings
Department of Civil and Environmental Engineering
Brookings, SD United States 57007 -
Principal Investigators:
Qin, Xiao
- Start Date: 20120101
- Expected Completion Date: 0
- Actual Completion Date: 20161231
- Source Data: MPC-438
Subject/Index Terms
- TRT Terms: Guidelines; Highway safety; Rural highways; Statistical analysis; Traffic crashes
- Identifier Terms: Highway Safety Manual
- Uncontrolled Terms: Crash reduction factors
- Subject Areas: Design; Highways; Pavements; Safety and Human Factors;
Filing Info
- Accession Number: 01497114
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: DTRT12-G-UTC08
- Files: UTC, RiP
- Created Date: Oct 30 2013 1:00AM