A literature review of machine learning algorithms for crash injury severity prediction
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 …
significant importance to understand the factors associated with the increase of injury …
Traffic accidents involving fatigue driving and their extent of casualties
The rapid progress of motorization has increased the number of traffic-related casualties.
Although fatigue driving is a major cause of traffic accidents, the public remains not rather …
Although fatigue driving is a major cause of traffic accidents, the public remains not rather …
Accident prediction accuracy assessment for highway-rail grade crossings using random forest algorithm compared with decision tree
X Zhou, P Lu, Z Zheng, D Tolliver, A Keramati - Reliability Engineering & …, 2020 - Elsevier
Safety is a major concern of transportation planners and engineers in their design of
highway rail grade crossings (HRGCs). Safety agencies rely on prediction models to …
highway rail grade crossings (HRGCs). Safety agencies rely on prediction models to …
Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw
Motorcycles and motorcyclists have a variety of attributes that have been found to be a
potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …
potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …
Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …
(ML) approaches in occupational accident analysis. The review process includes four …
Predicting multiple types of traffic accident severity with explanations: A multi-task deep learning framework
Z Yang, W Zhang, J Feng - Safety science, 2022 - Elsevier
Predicting traffic accident severity is essential for traffic accident prevention and vulnerable
road user safety. Furthermore, the explainability of the prediction is crucial for practitioners to …
road user safety. Furthermore, the explainability of the prediction is crucial for practitioners to …
Investigating driver injury severity patterns in rollover crashes using support vector machine models
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is
important to investigate the factors that affect rollover crashes and their influence on driver …
important to investigate the factors that affect rollover crashes and their influence on driver …
Traffic accident's severity prediction: A deep-learning approach-based CNN network
M Zheng, T Li, R Zhu, J Chen, Z Ma, M Tang… - IEEE …, 2019 - ieeexplore.ieee.org
In traffic accident, an accurate and timely severity prediction method is necessary for the
successful deployment of an intelligent transportation system to provide corresponding …
successful deployment of an intelligent transportation system to provide corresponding …
Transparent deep machine learning framework for predicting traffic crash severity
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 …
studies. A better understanding of crash severity risk factors is vital for the proactive …