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原文传递 Pavement Marking Retroreflectivity and Crash Frequency: Segmentation, Line Type, and Imputation Effects

题名：	Pavement Marking Retroreflectivity and Crash Frequency: Segmentation, Line Type, and Imputation Effects
正文语种：	英文
作者：	Iowa State Univ;Purdue Univ
作者单位：	Basak Aldemir Bektas;Konstantina Gkritza;Omar Smadi
摘要：	This paper investigates the effects of segment length, line types, and imputed retroreflectivity values on pavement-marking retroreflectivity and crash frequency analyses. Road data, crash data, pavement condition data, and pavement-marking retroreflectivity data from Iowa Department of Transportation (DOT) databases were acquired and spatially integrated. Data sets for 1-, 3-, and 5-mi segments were prepared to investigate the effect of segmentation. Additional data sets with imputed and measured retroreflectivity data were prepared for comparison. A series of negative binomial regression analyses were run to estimate the expected number of crashes on varying segment lengths andcdata subsets based on the two retroreflectivity collection methods. The findings show that using smaller segments and data sets with measured retroreflectivity rather than imputed retroreflectivity leads to a more significant relationship between the retroreflectivity of longitudinal pavement markings and crash frequency. The findings also suggest that keeping longitudinal pavement markings in good condition has significant positive effects on safety. The results further suggested that the expected number of annual crashes significantly decreased with the increasing retroreflectivity of white-edge lines (WELs) and yellow-edge lines (YELs) for four-lane road segments. In addition, a significant relationship between pavement condition, measured with the International Roughness Index (IRI) and the expected number of crashes was found for all data sets.
出版年：	2016
期刊名称：	Journal of Transportation Engineering
卷：	Vol.142
期：	No.8
页码：	04016030