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Computer-based training for safety: Comparing methods with older and younger workers
Analyzing angle crashes at unsignalized intersections using machine learning techniques
Promoting learning, memory, and transfer in a time-constrained, high hazard environment
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Improving seat belt use among teen drivers: Findings from a service-learning approach
Changes in self-reported driving intentions and attitudes while learning to drive in Great Britain
Some implications of an event-based definition of exposure to the risk of road accident
Machine learning approaches to analysing textual injury surveillance data: A systematic review
Visual guidance during bicycle steering through narrow lanes: a study in children
Red-light running violation prediction using observational and simulator data
Highway crash detection and risk estimation using deep learning
A feature learning approach based on XGBoost for driving assessment and risk prediction
Real-time crash risk prediction on arterials based on LSTM-CNN
Real-time accident detection: Coping with imbalanced data
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
Prediction of responsibility for drivers and riders involved in injury road crashes
Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Traffic campaigns and overconfidence: An experimental approach
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
The use of machine learning improves the assessment of drug-induced driving behaviour
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms
Detection of driver manual distraction via image-based hand and ear recognition