Accident and hazard prediction models for highway–rail grade crossings: a state-of-the-practice review for the USA
Highway–rail grade crossings (HRGCs) are one of the most dangerous segments of the
transportation network. Every year numerous accidents are recorded at HRGCs between …
transportation network. Every year numerous accidents are recorded at HRGCs between …
Transparent deep machine learning framework for predicting traffic crash severity
Abstract Analysis of crash injury severity is a promising research target in highway safety
studies. A better understanding of crash severity risk factors is vital for the proactive …
studies. A better understanding of crash severity risk factors is vital for the proactive …
The impact of aggressive driving behavior on driver‐injury severity at highway‐rail grade crossings accidents
C Ma, W Hao, W Xiang, W Yan - Journal of Advanced …, 2018 - Wiley Online Library
The effect of aggressive driving behavior on driver's injury severity is analyzed by
considering a comprehensive set of variables at highway‐rail grade crossings in the US. In …
considering a comprehensive set of variables at highway‐rail grade crossings in the US. In …
Mixed logit model-based driver injury severity investigations in single-and multi-vehicle crashes on rural two-lane highways
Crashes occurring on rural two-lane highways are more likely to result in severe driver
incapacitating injuries and fatalities. In this study, mixed logit models are developed to …
incapacitating injuries and fatalities. In this study, mixed logit models are developed to …
Safety and associated parameters influencing performance of rail road grade crossings: A critical review of state of the art
Abstract Introduction: Railroad grade crossings (RRGCs) have emerged as critical
transportation infrastructures from the point of safety and operational aspects because two …
transportation infrastructures from the point of safety and operational aspects because two …
Evaluation of safety degree at railway crossings in order to achieve sustainable traffic management: A novel integrated fuzzy MCDM model
A Blagojević, S Kasalica, Ž Stević, G Tričković… - Sustainability, 2021 - mdpi.com
Sustainable traffic system management under conditions of uncertainty and inappropriate
road infrastructure is a responsible and complex task. In Bosnia and Herzegovina (BiH) …
road infrastructure is a responsible and complex task. In Bosnia and Herzegovina (BiH) …
Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers
While the bus is generally considered to be a relatively safe means of transportation, the
property losses and casualties caused by bus accidents, especially fatal ones, are far from …
property losses and casualties caused by bus accidents, especially fatal ones, are far from …
A latent class modeling approach for identifying vehicle driver injury severity factors at highway-railway crossings
In this paper, we aim to identify the different factors that influence injury severity of highway
vehicle occupants, in particular drivers, involved in a vehicle-train collision at highway …
vehicle occupants, in particular drivers, involved in a vehicle-train collision at highway …
Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers
Introduction: Fatal crashes that include at least one fatality of an occupant within 30 days of
the crash cause large numbers of injured persons and property losses, especially when a …
the crash cause large numbers of injured persons and property losses, especially when a …
Predicting crash injury severity with machine learning algorithm synergized with clustering technique: A promising protocol
Predicting crash injury severity is a crucial constituent of reducing the consequences of
traffic crashes. This study developed machine learning (ML) models to predict crash injury …
traffic crashes. This study developed machine learning (ML) models to predict crash injury …