Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning.
Chenxing WangFang ZhaoHaichao ZhangHaiyong LuoYanjun QinYuchen FangPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- fine grained
- meta learning
- travel time
- public transport
- urban areas
- coarse grained
- public transportation
- learning tasks
- road network
- inductive learning
- model selection
- estimation error
- access control
- shortest path
- machine learning algorithms
- decision trees
- machine learning
- vehicle routing problem
- data mining
- traffic flow
- trajectory data
- feature selection
- metamodel
- transfer learning
- cellular automata
- collaborative filtering
- feature space
- traffic conditions