A novel methodology to predict urban traffic congestion with ensemble learning.
Gualberto Asencio-CortésEmilio FloridoAlicia TroncosoFrancisco Martínez-ÁlvarezPublished in: Soft Comput. (2016)
Keyphrases
- traffic congestion
- ensemble learning
- urban areas
- traffic flow
- travel time
- urban traffic
- generalization ability
- ensemble methods
- road network
- random forest
- base classifiers
- traffic data
- feature selection
- prediction accuracy
- learning algorithm
- concept drift
- cellular automata
- intrusion detection
- unlabeled data
- neural network
- simulated annealing
- pattern recognition
- feature extraction
- decision trees
- test data
- naive bayes