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] Classification of truck-involved crash severity: Dealing with missing, imbalanced, and high dimensional safety data

SI Mohammadpour, M Khedmati, MJH Zada - PLoS one, 2023 - journals.plos.org
While the cost of road traffic fatalities in the US surpasses $240 billion a year, the availability
of high-resolution datasets allows meticulous investigation of the contributing factors to …

Injury severity analysis of two-vehicle crashes at unsignalized intersections using mixed logit models

R Yuan, J Gan, Z Peng, Q Xiang - International Journal of Injury …, 2022 - Taylor & Francis
The severity of the two-vehicle crash is closely related to the characteristics of both the struck
and striking vehicles. Ignoring vehicle roles may lead to biased results. Thus, this study used …

[HTML][HTML] Severity analysis of crashes involving in-state and out-of-state large truck drivers in Alabama: a random parameter multinomial logit model with heterogeneity …

S Okafor, EK Adanu, S Jones - Heliyon, 2022 - cell.com
The trucking sector contributes significantly to the economic vitality of the United States.
Large trucks are primarily used for transporting goods within and across states. Despite its …

[HTML][HTML] Employment of artificial intelligence based on routine laboratory results for the early diagnosis of multiple myeloma

W Yan, H Shi, T He, J Chen, C Wang, A Liao… - Frontiers in …, 2021 - frontiersin.org
Objective In order to enhance the detection rate of multiple myeloma and execute an early
and more precise disease management, an artificial intelligence assistant diagnosis system …

Prediction and exploration of contributory factors related to fatigue driving among long-haul truck drivers traveling across India: a tree-based machine learning …

BS Rashmi, S Marisamynathan - Journal of Transport & Health, 2023 - Elsevier
Abstract Introduction Long-haul Truck drivers (LHTDs) have long working hours, insufficient
rest, and poor health conditions and often experience fatigue that substantially may lead to …

Interactive effects analysis of road, traffic, and weather characteristics on shared e-bike speeding risk: A data-driven approach

X Zhang, X Zhao, Y Bian, J Huang, L Yin - Accident Analysis & Prevention, 2024 - Elsevier
As electric bikes (e-bikes) rapidly develop in China, their traffic safety issues are becoming
increasingly prominent. Accurately detecting risky riding behaviors and conducting …

[HTML][HTML] Driving fatigue detection with three non-hair-bearing EEG channels and modified transformer model

J Wang, Y Xu, J Tian, H Li, W Jiao, Y Sun, G Li - Entropy, 2022 - mdpi.com
Driving fatigue is the main cause of traffic accidents, which seriously affects people's life and
property safety. Many researchers have applied electroencephalogram (EEG) signals for …

[HTML][HTML] A systematic review on the role of substance consumption in work-related road traffic crashes reveals the importance of biopsychosocial factors in prevention

S Frumento, P Bufano, A Zaccaro, AM Poma… - Behavioral …, 2022 - mdpi.com
Objective: Since many jobs imply driving, a relevant part of all road traffic crashes (RTC) is
related to work. Statistics considering all crashes suggest that they are significantly …

[HTML][HTML] Lane numbers and their impact on commercial motor vehicle crash safety: An econometric perspective

J Kim, NSS Al-Bdairi, S Hernandez - International Journal of Transportation …, 2024 - Elsevier
This research investigates the intricate relationship between the number of lanes on
highways and injury severities sustained by commercial motor vehicle (CMV) drivers. Many …