Predicting Future Traffic Congestion from Automated Traffic Recorder Readings with an Ensemble of Random Forests.
Benjamin HamnerPublished in: ICDM Workshops (2010)
Keyphrases
- random forests
- traffic congestion
- predicting future
- traffic flow
- random forest
- ensemble methods
- decision trees
- travel time
- urban traffic
- traffic information
- traffic jams
- road network
- machine learning algorithms
- tree ensembles
- traffic data
- urban areas
- traffic light
- logistic regression
- decision tree ensembles
- randomized trees
- information services
- traffic density
- network traffic
- traffic signal
- machine learning methods
- benchmark datasets
- prediction accuracy