Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations

no code implementations • 13 Oct 2022 • Kuo Han, Jinlei Zhang, Chunqi Zhu, Lixing Yang, Xiaoyu Huang, Songsong Li

The Meta-LSTM is to construct a framework that increases the generalization ability of long short-term memory network (LSTM) to various passenger flow characteristics by learning passenger flow characteristics from multiple data-rich stations and then applying the learned parameter to data-scarce stations by parameter initialization.

Management Meta-Learning