Injury severity of truck-involved crashes in work zones on rural and urban highways: Accounting for unobserved heterogeneity

M Yu, C Ma, C Zheng, Z Chen… - Journal of Transportation …, 2022 - Taylor & Francis
Truck-related crashes in the work zones always resulted in severe injury outcomes. This
paper analyses the injury severity of truck-involved crashes in the work zones based on a …

Injury severity analysis for large truck-involved crashes: Accounting for heterogeneity

G Azimi, A Rahimi, H Asgari… - Transportation research …, 2022 - journals.sagepub.com
This study explores the crash injury severity of large truck-involved crashes, where the truck
driver was identified as the at-fault driver. The paper focuses on vehicle-in-motion crashes …

[HTML][HTML] Exploring interacting effects of risk factors on run-off-road crash severity: An interpretable machine learning model joint with latent class clustering

SA Samerei, K Aghabayk - IATSS Research, 2024 - Elsevier
Abstract Run-Off-Road (ROR) crashes are frequent and pose a significant risk of injury and
fatality. Given the complexity of their mechanisms and the interaction of multiple factors, this …

Incorporating demographic proportions into crash count models by quasi-induced exposure method

S Sharmin, JN Ivan, S Zhao, K Wang… - Transportation …, 2020 - journals.sagepub.com
Quasi-induced exposure (QIE) is an effective technique for estimating the exposure of a
specific driving or vehicle population when real exposure data are not available. Typically …

Risk factors affecting driver severity of single-vehicle run off road crash for Thailand highway

C Se, T Champahom, S Jomnonkwao… - Engineering …, 2020 - engj.org
Abstract Single-Vehicle Run Off Road (ROR) crash has been the leading crash type in terms
of frequency and severity in Thailand. In this study, multinomial logit analysis was applied to …

Analysis of run-off-road accidents by association rule mining and geographic information system techniques on imbalanced datasets

F Jiang, KKR Yuen, EWM Lee, J Ma - Sustainability, 2020 - mdpi.com
Run-off-road (ROR) accidents cause a large proportion of fatalities on roads. Exploring key
factors is an effective method to reduce fatalities and improve safety sustainability. However …

Analysis of severe injuries in crashes involving large trucks using K-prototypes clustering-based GBDT model

SAS Tahfim, C Yan - Safety, 2021 - mdpi.com
The unobserved heterogeneity in traffic crash data hides certain relationships between the
contributory factors and injury severity. The literature has been limited in exploring different …

Heterogeneity in crash data: A cross comparison between ordered probability model and its variant using crashes at suburban type arterial

B Khanal, A Zahertar, S Lavrenz - Accident Analysis & Prevention, 2024 - Elsevier
Transportation researchers have long been using the statistical analysis of traffic crash data
to create a proactive awareness of traffic safety, make important decisions about the design …

Examining driver injury severity in single-vehicle road departure crashes involving large trucks

M Hosseinpour, K Haleem - Transportation research record, 2021 - journals.sagepub.com
Road departure (RD) crashes are among the most severe crashes that can result in fatal or
serious injuries, especially when involving large trucks. Most previous studies neglected to …

Statistical and Spatial Analysis of Large Truck Crashes in Texas (2017–2021)

K Billah, HO Sharif, S Dessouky - Sustainability, 2024 - mdpi.com
Freight transportation, dominated by trucks, is an integral part of trade and production in the
USA. Given the prevalence of large truck crashes, a comprehensive investigation is …