Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations.
Kuo HanJinlei ZhangChunqi ZhuLixing YangXiaoyu HuangSongsong LiPublished in: CoRR (2022)
Keyphrases
- short term
- meta learning
- long term
- load forecasting
- motion prediction
- learning tasks
- inductive learning
- short term prediction
- passenger flow
- arima model
- model selection
- short term and long term
- machine learning algorithms
- prediction accuracy
- decision trees
- prediction model
- long term memory
- forecasting model
- data mining
- machine learning
- base classifiers
- feature selection
- simulation model
- support vector machine
- active learning
- artificial neural networks