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Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Traffic campaigns and overconfidence: An experimental approach
Factors impacting bike crash severity in urban areas
A literature review of machine learning algorithms for crash injury severity prediction
The use of machine learning improves the assessment of drug-induced driving behaviour
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Machine learning approaches to analysing textual injury surveillance data: A systematic review
The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms
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
Real-time accident detection: Coping with imbalanced data
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
Deriving a joint risk estimate from dynamic data collected at motorcycle rides
Railroad accident analysis using extreme gradient boosting
Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information
A data-centric weak supervised learning for highway traffic incident detection