Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow-Reference-Cited by-同舟云学术

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

Author:

He Yuxin¹^ORCID,Li Lishuai²^ORCID,Zhu Xinting³^ORCID,Tsui Kwok Leung⁴^ORCID

Affiliation:

1. College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen, China

2. Section of Air Transport and Operations, Faculty of Aerospace Engineering, Delft University of Technology, AA Delft, The Netherlands

3. School of Data Science, City University of Hong Kong, Hong Kong

4. Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA

Funder

Hong Kong Research Grants Council the General Research Fund

National Social Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference68 articles.

2. Diffusion-convolutional neural networks;atwood;Proc NIPS,2016

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