Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model

A Hosseinzadeh, A Moeinaddini… - Journal of safety …, 2021 - Elsevier
Introduction: Reducing the severity of crashes is a top priority for safety researchers due to
its impact on saving human lives. Because of safety concerns posed by large trucks and the …

Bayesian extreme value analysis of kinematic-based surrogate measure of safety to detect crash-prone conditions in connected vehicles environment: A driving …

AK Bakhshi, MM Ahmed - Transportation research part C: emerging …, 2022 - Elsevier
Abstract Connected Vehicles (CVs) technology has provided large-scale driving database
embedded in Basic Safety Messages (BSMs). This valuable data source can shed more light …

Safety impact of connected vehicles on driver behavior in rural work zones under foggy weather conditions

E Adomah, A Khoda Bakhshi… - Transportation research …, 2022 - journals.sagepub.com
Work zone safety is one of the paramount goals of the safety community. Safety in WZs is a
particular concern under foggy conditions as they represent an exogenous factor …

Effects of speed feedback signs and law enforcement on driver speed

A Karimpour, R Kluger, C Liu, YJ Wu - Transportation research part F: traffic …, 2021 - Elsevier
This study analyzes the effects of implementing three speed management strategies, namely
speed feedback signs, periodic law enforcement, and speed feedback sign supported with …

Do EMS times associate with injury severity?

A Hosseinzadeh, R Kluger - Accident Analysis & Prevention, 2021 - Elsevier
In this study, emergency medical services times, along with other crash-related explanatory
variables, have been used to investigate influential factors on injury severity. To overcome …

Co** with endogeneity and unobserved heterogeneity in real-time clustering critical crash occurrences nested within weather and road surface conditions

A Khoda Bakhshi, MM Ahmed - … journal of injury control and safety …, 2021 - Taylor & Francis
The knot of endogeneity and unobserved heterogeneity are causes of rendering parameter
estimates inconsistent in real-time crash prediction. This study intends to alleviate the …