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Maschinelles Lernen
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Analyzing angle crashes at unsignalized intersections using machine learning techniques
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
Machine learning approaches to analysing textual injury surveillance data: A systematic review
Red-light running violation prediction using observational and simulator data
Real-time accident detection: Coping with imbalanced data
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
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
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