Travel Time Prediction Using Hybridized Deep Feature Space and Machine Learning Based Heterogeneous Ensemble.
Jawad-ur-Rehman ChughtaiIrfan Ul HaqM. Omair ShafiqMuhammad MuneebPublished in: IEEE Access (2022)
Keyphrases
- travel time
- feature space
- prediction intervals
- machine learning
- feature selection
- road network
- shortest path
- transportation networks
- training set
- prediction accuracy
- traffic flow
- learning algorithm
- support vector machine
- feature vectors
- traffic congestion
- kernel methods
- traffic data
- regression model
- confidence level
- public transport
- neural network
- traffic conditions
- machine learning methods
- high dimensional
- moving objects
- decision trees
- traffic information
- travel cost
- phase space reconstruction
- urban areas
- vehicle routing problem
- model selection
- principal component analysis
- multi objective
- feature extraction
- genetic algorithm ga
- particle swarm optimization
- linear regression model
- fuel consumption
- evolutionary algorithm