Bivariate joint analysis of injury severity of drivers in truck-car crashes accommodating multilayer unobserved heterogeneity

D Song, X Yang, Y Yang, P Cui, G Zhu - Accident Analysis & Prevention, 2023 - Elsevier
Truck-involved crashes, especially truck-car crashes, are associated with serious and even
fatal injuries, thus necessitating an in-depth analysis. Prior research focused solely on …

Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning …

SA Samerei, K Aghabayk - Accident Analysis & Prevention, 2024 - Elsevier
Chain reaction crashes (CRC) begin with a two-vehicle collision and rapidly intensify as
more vehicles get directly involved. CRCs result in more extensive damage compared to two …

Temporal instability and differences in injury severity between restrained and unrestrained drivers in speeding-related crashes

C Se, T Champahom, P Wisutwattanasak… - Scientific reports, 2023 - nature.com
Upon detecting a crash impact, the vehicle restraint system locks the driver in place.
However, external factors such as speeding, crash mechanisms, roadway attributes, vehicle …

An empirical analysis of how asleep/fatigued driving-injury severities have changed over time

M Islam, F Mannering - Journal of Transportation Safety & Security, 2023 - Taylor & Francis
Asleep/fatigued driving has proven to be a serious and persistent highway-safety problem.
This study investigates aspects of this problem by studying the temporal changes in driver …

[HTML][HTML] Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey

AS Hasan, M Jalayer, S Das, MAB Kabir - International journal of …, 2023 - Elsevier
Motor vehicle crashes are the leading cause of the death of teenagers in the United States.
Young drivers have shown their higher propensity to get involved in crashes due to using a …

Exploring the effect of COVID-19 on driver injury severities in freeway single-vehicle crashes accounting for unobserved heterogeneity

M Islam, R Bertini - Transportation Letters, 2024 - Taylor & Francis
The COVID-19 pandemic, characterized by travel restrictions and reduced traffic volumes,
heightened the risk of severe single-vehicle crashes on Florida's freeways. This study …

An exploratory analysis of two-vehicle crashes for distracted driving with a mixed approach: Machine learning algorithm with unobserved heterogeneity

M Islam, D Patel, AS Hasan… - Journal of Transportation …, 2023 - Taylor & Francis
Two-vehicle crashes resulting from distracted driving led to a higher number of fatalities and
serious injuries over time. This study utilized machine learning and econometric models to …

Analyzing pile-up crash severity: Insights from real-time traffic and environmental factors using ensemble machine learning and shapley additive explanations method

SA Samerei, K Aghabayk, A Montella - Safety, 2024 - mdpi.com
Pile-up (PU) crashes, which involve multiple collisions between more than two vehicles
within a brief timeframe, carry substantial consequences, including fatalities and significant …

[HTML][HTML] Single-vehicle roadway departure crashes at rural two-lane highway curved segments: A diagnosis using pattern recognition

A Hossain, X Sun, S Islam, A Rahman, S Das - International Journal of …, 2023 - Elsevier
Curved segments account for a disproportionately high proportion of fatal and serious injury
crashes, with most of these crashes occurring on rural two-lane (R2L) highways. During the …

Status, Challenges, and Trends of International Research on Roadside Safety

L Han, Z Du - Transportation Research Record, 2024 - journals.sagepub.com
Roadside safety refers to the assessment and improvement of safety measures related to
roadside environment, design, management, and objects. It encompasses factors such as …