A literature review of machine learning algorithms for crash injury severity prediction

K Santos, JP Dias, C Amado - Journal of safety research, 2022 - Elsevier
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …

A review of truck driver persona construction for safety management

H Li, W Wang, Y Yao, X Zhao, X Zhang - Accident Analysis & Prevention, 2024 - Elsevier
The trucking industry urgently requires comprehensive methods to evaluate driver safety,
given the high incidence of serious traffic accidents involving trucks. The concept of a “truck …

Traffic accident severity prediction based on random forest

M Yan, Y Shen - Sustainability, 2022 - mdpi.com
The prediction of traffic accident severity is essential for traffic safety management and
control. To achieve high prediction accuracy and model interpretability, we propose a hybrid …

Discovering injury severity risk factors in automobile crashes: a hybrid explainable AI framework for decision support

M Amini, A Bagheri, D Delen - Reliability Engineering & System Safety, 2022 - Elsevier
Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …

Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country

H Bhuiyan, J Ara, KM Hasib, MIH Sourav, FB Karim… - Scientific reports, 2022 - nature.com
Road traffic injuries are one of the primary reasons for death, especially in developing
countries like Bangladesh. Safety in land transport is one of the major concerns for road …

Severity prediction of highway crashes in Saudi Arabia using machine learning techniques

I Aldhari, M Almoshaogeh, A Jamal, F Alharbi… - Applied Sciences, 2022 - mdpi.com
Kingdom of Among the G20 countries, Saudi Arabia (KSA) is facing alarming traffic safety
issues compared to other G-20 countries. Mitigating the burden of traffic accidents has been …

Prediction and interpretive of motor vehicle traffic crashes severity based on random forest optimized by meta-heuristic algorithm

X Wang, Y Su, Z Zheng, L Xu - Heliyon, 2024 - cell.com
Providing accurate prediction of the severity of traffic collisions is vital to improve the
efficiency of emergencies and reduce casualties, accordingly improving traffic safety and …

Predicting and explaining severity of road accident using artificial intelligence techniques, SHAP and feature analysis

C Panda, AK Mishra, AK Dash… - International journal of …, 2023 - Taylor & Francis
The accurate prediction of accident severity has become an active area of research in recent
years, although studies in certain regions such as South Asia and Sub-Saharan Africa are …

A data-driven approach to strengthening policies to prevent freeway tunnel strikes by motor vehicles

S Jung, X Qin - Accident Analysis & Prevention, 2021 - Elsevier
Freeway tunnel strikes by motor vehicles inflict serious damages to the infrastructure, cause
personal injuries, and create traffic congestions. Freeway tunnel hits are a constant threat in …

Prediction of crash severity as a way of road safety improvement: The case of Saint Petersburg, Russia

M Rodionova, A Skhvediani, T Kudryavtseva - Sustainability, 2022 - mdpi.com
This article investigates factors that explain road crash severity levels in Saint Petersburg,
Russia, during the 2015–2021 period. The research takes into account factors such as …