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 …
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data
Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …
accident domain using reactive data, its exploration in predicting injury severity using both …
A data-driven method towards minimizing collision severity for highly automated vehicles
The deployment of autonomous vehicles on public roads calls for the development of
methods that are reliably able to mitigate injury severity in case of unavoidable collisions …
methods that are reliably able to mitigate injury severity in case of unavoidable collisions …
Crash severity prediction using two-layer ensemble machine learning model for proactive emergency management
Many unfortunate victims in road traffic crashes do not receive ideal treatment because their
injury severity is not understood at an early stage. Swift crash severity prediction enables …
injury severity is not understood at an early stage. Swift crash severity prediction enables …
[HTML][HTML] On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US
S Candefjord, AS Muhammad, P Bangalore… - Journal of Transport & …, 2021 - Elsevier
A significant proportion of motor vehicle crash fatalities are potentially preventable with
improved acute care. By increasing the accuracy of triage more victims could be transported …
improved acute care. By increasing the accuracy of triage more victims could be transported …
Serious injury prediction algorithm based on large-scale data and under-triage control
T Nishimoto, K Mukaigawa, S Tominaga… - Accident Analysis & …, 2017 - Elsevier
The present study was undertaken to construct an algorithm for an advanced automatic
collision notification system based on national traffic accident data compiled by Japanese …
collision notification system based on national traffic accident data compiled by Japanese …
[HTML][HTML] A predictive ambulance dispatch algorithm to the scene of a motor vehicle crash: the search for optimal over and under triage rates
Background Calls for emergency medical assistance at the scene of a motor vehicle crash
(MVC) substantially contribute to the demand on ambulance services. Triage by emergency …
(MVC) substantially contribute to the demand on ambulance services. Triage by emergency …
Investigation on the injuries of drivers and copilots in rear-end crashes between trucks based on real world accident data in China
This study aimed to investigate the distributing factors affecting the injury severity of drivers
and copilots in rear-end crashes between trucks on expressways, based on real world …
and copilots in rear-end crashes between trucks on expressways, based on real world …
Machine learning-based injury severity prediction of level 1 trauma center enrolled patients associated with car-to-car crashes in Korea
Injury prediction models enables to improve trauma outcomes for motor vehicle occupants in
accurate decision-making and early transport to appropriate trauma centers. This study aims …
accurate decision-making and early transport to appropriate trauma centers. This study aims …