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Safety Performance of Combinations of Traffic and Roadway Cross-Sectional Design Elements at Straight and Curved Segments

Title
Safety Performance of Combinations of Traffic and Roadway Cross-Sectional Design Elements at Straight and Curved Segments
Author
박준영
Keywords
Crash modification factors; Generalized nonlinear models; Cross-sectional method; Shoulder and lane widths; Traffic volume
Issue Date
2017-06
Publisher
ASCE-AMER SOC CIVIL ENGINEERS
Citation
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, v. 143, No. 6, Article no. UNSP 04017015
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. (C) 2017 American Society of Civil Engineers.
URI
https://ascelibrary.org/doi/full/10.1061/JTEPBS.0000033https://repository.hanyang.ac.kr/handle/20.500.11754/105879
ISSN
2473-2907; 2473-2893
DOI
10.1061/JTEPBS.0000033
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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