most citedMulti-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow

4 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2021★ 4 cited

Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow

Yuxin He, Lishuai Li, Xinting Zhu +1

Short-term forecasting of passenger flow is critical for transit management and crowd regulation. Spatial dependencies, temporal dependencies, inter-station correlations driven by…

stat.AP2019

An Adapted Geographically Weighted Lasso(Ada-GWL) model for estimating metro ridership

Yuxin He, Yang Zhao, Kwok Leung Tsui

Ridership estimation at station level plays a critical role in metro transportation planning. Among various existing ridership estimation methods, direct demand model has been reco…

stat.AP2019

An Analysis of Factors Influencing Metro Station Ridership: Insights from Taipei Metro

Yuxin He, Yang Zhao, Kwok Leung Tsui

Travel demand analysis at the planning stage is important for metro system development. In practice, travel demand can be affected by various factors. This paper focuses on investi…