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Title: Verification of usRAP Risk Assessments for Run-Off and Head-On Crashes Using Field Data
Accession Number: 01764164
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: The United States Road Assessment Program (usRAP) provides a systemic approach to estimate the risk of severe injury and fatal crashes along roadway segments based on the expected safety performance of roadway and roadside characteristics, together with a general estimation of traffic volume. Detailed crash data are not needed for safety assessments, providing advantages over more traditional crash-driven approaches. However, experiences with usRAP are limited to the United States and to date, the program has a growing but limited number of participating states. Verification of the adequacy of usRAP assessments is therefore of significant value, not only to identify strengths and limitations of the methodology within the U.S. context, but also to potentially expand the set of tools available to agencies. This paper presents a verification of usRAP risk assessments for run-off-road and head-on crashes using over 7,000?mi of coded segments and five years of crash data collected in Utah. Comparisons between risk estimations from usRAP and actual crash rates provided insights into the expected and observed effects of roadside objects and their distances from the lanes traveled, type of median present, and horizontal curves. A spatial correlation test also confirmed the agreement between usRAP risk assessments and crash data, providing additional promising indications of the suitability of this systemic methodology for safety applications.
Supplemental Notes: Fahmid Hossain https://orcid.org/0000-0002-8629-151X
© National Academy of Sciences: Transportation Research Board 2021.
Report/Paper Numbers: TRBAM-21-03366
Language: English
Authors: Pagination: pp 1187-1201
Publication Date: 2021-12
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Volume: 2675 Media Type: Digital/other
Features: Figures; Maps; References
(37)
; Tables
TRT Terms: Identifier Terms: Subject Areas: Data and Information Technology; Highways; Safety and Human Factors
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:21AM
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