Improving the accuracy of long-term travel time prediction using heterogeneous ensembles.
João Mendes-MoreiraAlípio Mário JorgeJorge Freire de SousaCarlos SoaresPublished in: Neurocomputing (2015)
Keyphrases
- travel time
- long term
- prediction accuracy
- prediction intervals
- transportation networks
- error rate
- ensemble methods
- models built
- road network
- traffic flow
- shortest path
- traffic conditions
- traffic data
- prediction error
- public transport
- short term
- decision trees
- neural network ensemble
- fuel consumption
- floating car data
- traffic congestion
- urban areas
- vehicle routing problem
- computer vision
- spatial networks
- confidence level
- travel cost