MTL-LSTM: Multi-Task Learning-based LSTM for Urban Traffic Flow Forecasting.
Mostafa KarimzadehSamuel Martin SchweglerZhongliang ZhaoTorsten BraunSusana SargentoPublished in: IWCMC (2021)
Keyphrases
- multi task learning
- traffic flow
- traffic flows
- urban traffic
- traffic congestion
- multi task
- road traffic
- learning tasks
- gaussian processes
- multitask learning
- multiple tasks
- learning problems
- travel time
- multiple task learning
- cellular automata
- traffic data
- traffic patterns
- theoretical analysis
- traffic management
- high order
- dirichlet process
- transfer learning
- traffic light
- transportation networks
- traffic conditions
- inductive learning
- short term
- machine learning
- learning models
- higher order
- long term
- reinforcement learning
- training data