Published In
Transportation Research Record: Journal of the Transportation Research Board
Document Type
Article
Publication Date
12-1-2011
Subjects
Traffic safety, Roads, Safety measures
Abstract
The recently released "Highway Safety Manual" (HSM) published by AASHTO provides a comprehensive set of tools for evaluating and identifying opportunities to improve safety for highway facilities. Included in the HSM is a quantitative method for predicting crashes on the basis of recently developed scientific approaches. These predictive methods currently exist for three facility types: rural two-lane roads; rural multilane highways; and urban and suburban arterial highways. To enhance precision, each HSM predictive method should be calibrated for location conditions. This paper demonstrates the HSM calibration procedure for total crashes in Oregon. The research identified three critical data collection limitations on information about pedestrian volumes, minor road traffic volumes at rural locations, and minimum sample size for underrepresented crash locations. Most of the calibration factors for Oregon were determined to be considerably lower than the expected value of approximately 1, and this observation was attributed to Oregon crash reporting thresholds and procedures. The paper includes an evaluation of crash severity distribution methods and an assessment of the significance of collision type distributions on the overall predicted crashes.
Rights
Copyright, National Academy of Sciences. Posted with permission of the Transportation Research Board. None of this material may be presented to imply endorsement by TRB of a product, method, practice, or policy.
DOI
10.3141/2241-03
Persistent Identifier
http://archives.pdx.edu/ds/psu/20785
Citation Details
Xie, Fei; Gladhill, Kristie; Dixon, Karen; and Monsere, Christopher, "Calibration of Highway Safety Manual: Predictive Models for Oregon State Highways" (2011). Civil and Environmental Engineering Faculty Publications and Presentations. 222.
http://archives.pdx.edu/ds/psu/20785