Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning.
Chenxing WangFang ZhaoHaichao ZhangHaiyong LuoYanjun QinYuchen FangPublished in: CoRR (2022)
Keyphrases
- fine grained
- meta learning
- travel time
- public transport
- urban areas
- public transportation
- coarse grained
- inductive learning
- learning tasks
- road network
- estimation error
- model selection
- machine learning algorithms
- access control
- shortest path
- trajectory data
- traffic flow
- decision trees
- base classifiers
- data mining
- metamodel
- vehicle routing problem
- machine learning
- traffic conditions
- collaborative filtering
- databases
- reinforcement learning
- feature extraction
- learning algorithm
- distributed systems