Title

Safety Performance Of Combinations Of Traffic And Roadway Cross-Sectional Design Elements At Straight And Curved Segments

Keywords

Crash modification factors; Cross-sectional method; Generalized nonlinear models; Shoulder and lane widths; Traffic volume

Abstract

This study develops various crash modification factors (CMFs) for combinations of traffic and roadway cross-sectional elements at noncurved (i.e., straight) and curved roadway sections using the cross-sectional method. Generally, a CMF estimates the expected changes in crash frequency after a single specific treatment is implemented on a roadway. The results indicate that increasing lane width, increasing shoulder width, and their combination are safety effective in reducing crash frequency in general. In particular, it was found that crash frequency decreases as the lane width increases until 3.51 m (11.5 ft) width and it increases as the lane width exceeds 3.51 m. The crash rates start to decrease again after 3.81 m (12.5 ft). The results also indicate that the developed nonlinearizing link function derived nonlinear relationship between crash rates and lane width, and this relationship was clearly reflected in the generalized nonlinear models (GNMs). Moreover, there is a significant interaction impact between lane and shoulder widths at segments with a horizontal curve whereas the interaction term is not significant at noncurved segments. It was also found that the CMFs for increasing lane and shoulder widths are decreasing as annual average daily traffic (AADT) level increases. Based on the findings from this study, it is recommended to apply the proposed methodology of utilizing the GNMs with interaction terms in the cross-sectional method to (1) estimate more accurate CMFs for single treatments and combinations of treatments and (2) reflect the nonlinearity of crash predictors and interaction impacts among variables.

Publication Date

6-1-2017

Publication Title

Journal of Transportation Engineering

Volume

143

Issue

6

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1061/JTEPBS.0000033

Socpus ID

85017501859 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85017501859

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