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 …

Determinant of injury severities in large truck crashes: A weekly instability analysis

A Behnood, NSS Al-Bdairi - Safety science, 2020 - Elsevier
In the past, many attempts have been made to study the effects of large trucks on the safety
of roadway users. However, the exact effects of weekdays and weekends on the injury …

Investigating the injury severity of single-vehicle truck crashes in a develo** country

E Rahimi, A Shamshiripour, A Samimi… - Accident Analysis & …, 2020 - Elsevier
Trucking plays a vital role in economic development in every country, especially countries
where it serves as the backbone of the economy. The fast growth of economy in Iran as a …

Analyzing the impact of curve and slope on multi-vehicle truck crash severity on mountainous freeways

H Wen, Z Ma, Z Chen, C Luo - Accident Analysis & Prevention, 2023 - Elsevier
Many studies examine the road characteristics that impact the severity of truck crash
accidents. However, some only analyze the effect of curves or slopes separately, ignoring …

Injury severity analysis of truck-involved crashes under different weather conditions

M Uddin, N Huynh - Accident Analysis & Prevention, 2020 - Elsevier
This paper investigates truck-involved crashes to determine the statistically significant
factors that contribute to injury severity under different weather conditions. The analysis uses …

Modeling of single-vehicle and multi-vehicle truck-involved crashes injury severities: A comparative and temporal analysis in a develo** country

C Se, T Champahom, S Jomnonkwao… - Accident Analysis & …, 2024 - Elsevier
Truck-involved crashes persist as a significant concern, yielding noteworthy human
casualties and causing economic ramifications, particularly in develo** countries. This …

An analysis of single-vehicle truck crashes on rural curved segments accounting for unobserved heterogeneity

M Islam, P Hosseini, M Jalayer - Journal of safety research, 2022 - Elsevier
Introduction: Medium to large truck crashes, particularly on rural curved roadways, lead to a
disproportionately higher number of fatalities and serious injuries relative to other passenger …

[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 …, 2024 - Elsevier
Motor vehicle crashes are the leading cause of the death of teenagers in the United States.
Young drivers have shown a higher propensity to get involved in crashes due to using a …

Prediction and factor identification for crash severity: Comparison of discrete choice and tree-based models

X Wang, SH Kim - Transportation research record, 2019 - journals.sagepub.com
Crash severity is one of the most widely studied topics in traffic safety area. Scholars have
studied crash severity through various types of models. Using the publicly available 2017 …

Factor identification and prediction for teen driver crash severity using machine learning: A case study

C Lin, D Wu, H Liu, X **a, N Bhattarai - Applied Sciences, 2020 - mdpi.com
Crashes among young and inexperienced drives are a major safety problem in the United
States, especially in an area with large rural road networks, such as West Texas. Rural …