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 …

[HTML][HTML] Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

Y Ali, F Hussain, MM Haque - Accident Analysis & Prevention, 2024 - Elsevier
Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …

A deep learning based traffic crash severity prediction framework

MA Rahim, HM Hassan - Accident Analysis & Prevention, 2021 - Elsevier
Highway work zones are most vulnerable roadway segments for congestion and traffic
collisions. Hence, providing accurate and timely prediction of the severity of traffic collisions …

Handling imbalanced data in road crash severity prediction by machine learning algorithms

N Fiorentini, M Losa - Infrastructures, 2020 - mdpi.com
Crash severity is undoubtedly a fundamental aspect of a crash event. Although machine
learning algorithms for predicting crash severity have recently gained interest by the …

Comparative study of machine learning classifiers for modelling road traffic accidents

T Bokaba, W Doorsamy, BS Paul - Applied Sciences, 2022 - mdpi.com
Road traffic accidents (RTAs) are a major cause of injuries and fatalities worldwide. In recent
years, there has been a growing global interest in analysing RTAs, specifically concerned …

Transparent deep machine learning framework for predicting traffic crash severity

K Sattar, F Chikh Oughali, K Assi, N Ratrout… - Neural Computing and …, 2023 - Springer
Abstract Analysis of crash injury severity is a promising research target in highway safety
studies. A better understanding of crash severity risk factors is vital for the proactive …

RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model

M Manzoor, M Umer, S Sadiq, A Ishaq, S Ullah… - IEEE …, 2021 - ieeexplore.ieee.org
Traffic accidents on highways are a leading cause of death despite the development of traffic
safety measures. The burden of casualties and damage caused by road accidents is very …

Machine learning for road traffic accident improvement and environmental resource management in the transportation sector

M Megnidio-Tchoukouegno, JA Adedeji - Sustainability, 2023 - mdpi.com
Despite the measures put in place in different countries, road traffic fatalities are still
considered one of the leading causes of death worldwide. Thus, the reduction of traffic …

Road accident prediction and model interpretation using a hybrid K-means and random forest algorithm approach

SS Yassin, Pooja - SN Applied Sciences, 2020 - Springer
Road accident severity is a major concern of the world, particularly in underdeveloped
countries. Understanding the primary and contributing factors may combat road traffic …

Road car accident prediction using a machine-learning-enabled data analysis

S Pourroostaei Ardakani, X Liang, KT Mengistu, RS So… - Sustainability, 2023 - mdpi.com
Traffic accidents have become severe risks as they are one of the causes of enormous
deaths worldwide. Reducing the number of incidents is critical to saving lives and achieving …