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A deep learning based traffic crash severity prediction framework
A feature learning approach based on XGBoost for driving assessment and risk prediction
Highway crash detection and risk estimation using deep learning
Some implications of an event-based definition of exposure to the risk of road accident
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Traffic campaigns and overconfidence: An experimental approach
Safer tomorrow: Irish dairy farmers’ self-perception of their farm safety practices
Computer-based training for safety: Comparing methods with older and younger workers
Improving seat belt use among teen drivers: Findings from a service-learning approach
A literature review of machine learning algorithms for crash injury severity prediction
Real-time crash risk prediction on arterials based on LSTM-CNN
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Exploring bias in incident investigations: An empirical examination using construction case studies
Machine learning approaches to analysing textual injury surveillance data: A systematic review
The use of machine learning improves the assessment of drug-induced driving behaviour
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms
Transfer learning for spatio-temporal transferability of real-time crash prediction models
The usefulness of artificial intelligence for safety assessment of different transport modes
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
A crash severity analysis at highway-rail grade crossings: The random survival forest method
Detection of driver manual distraction via image-based hand and ear recognition
Deep transfer learning-based anomaly detection for cycling safety