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Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Traffic campaigns and overconfidence: An experimental approach
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