01015612

Component

https://doi.org/10.3141/1922-09

http://scholar.google.com...ella&publication_year=2005

Safety reviews of existing roads are becoming an accepted practice in many agencies around the world. These reviews can be highly cost-effective, but the subjective nature of the process can give rise to inconsistencies that limit their effectiveness. To address this issue, a technique to support safety reviews to quantify the safety gains that could be achieved by addressing the problems identified in the review process is presented. The approach is based on known accident relationships. A systematic process to determine which road features should be investigated and how each feature should be evaluated during the review is described. The procedure addresses rural two-lane highways at nonintersections. From the process, a potential for a safety improvement index (PFI) was calculated. Validation of the procedure was carried out by a comparison of the PFI values with the expected collision frequency. PFI was assessed in 406 km of rural two-lane rolling highways in Italy. Collision frequency was determined by application of a collision prediction model, calibrated in the study network, and was refined by application of the empirical Bayes (EB) technique. Correlation between EB safety estimates and PFI values is highly significant, with 93% of the variation in the estimated number of accidents explained by the PFI value. Because of the validation and quantitative nature of the PFI, the procedure can be used to support safety reviews and decision making.

01015603

English

pp 62-72

2005

Transportation Research Record: Journal of the Transportation Research Board

0309093961

Print

Figures (1) ; References (28) ; Tables (7)

Crash rates; Decision making; Evaluation and assessment; Highway safety; Methodology; Reviews; Rural highways; Two lane highways

Empirical Bayes method; Safety improvement

Italy

Highways; Safety and Human Factors; I80: Accident Studies

TRIS, TRB, ATRI

Jan 20 2006 10:57AM

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