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Full-Text Articles in Engineering
Incorporating Travel Time Reliability In Predicting The Likelihood Of Severe Crashes On Arterial Highways Using Non-Parametric Random-Effect Regression, Emmanuel Kidando, Ren Moses, Eren Erman Ozguven, Thobias Sando
Incorporating Travel Time Reliability In Predicting The Likelihood Of Severe Crashes On Arterial Highways Using Non-Parametric Random-Effect Regression, Emmanuel Kidando, Ren Moses, Eren Erman Ozguven, Thobias Sando
Civil and Environmental Engineering Faculty Publications
© 2019 The Authors Travel time reliability (TTR) modeling has gain attention among researchers' due to its ability to represent road user satisfaction as well as providing a predictability of a trip travel time. Despite this significant effort, its impact on the severity of a crash is not well explored. This study analyzes the effect of TTR and other variables on the probability of the crash severity occurring on arterial roads. To address the unobserved heterogeneity problem, two random-effect regressions were applied; the Dirichlet random-effect (DRE) and the traditional random-effect (TRE) logistic regression. The difference between the two models is …
Analysis Of Truck-Related Crashes Of Freeways In China, Ting Xu, Rui-Sen Jiang, Lei Zhao, Long Qi, Yu Zhang
Analysis Of Truck-Related Crashes Of Freeways In China, Ting Xu, Rui-Sen Jiang, Lei Zhao, Long Qi, Yu Zhang
Civil and Environmental Engineering Faculty Publications
Truck-related crashes result in tremendous lives and property loss and become a serious safety issue in China. The goal of this article is to identify the influential factors for severity of truck-related crashes using data from Jingjintang freeways in China and to design an ordered probit model to explore their relationship. Records including crashes, traffic flow attributes, and geometric design features ranging from 2009 to 2012 were collected from Jingjintang freeway. Crashes are divided into three severity levels: slight injury, injury, and fatal injury. The injury crashes is ranking the first place occupying 64.37%. Truck-related crashes are likely to occur …