RST-Net: a spatio-temporal residual network based on Region-reConStruction algorithm for shared bike prediction

RST-Net: a spatio-temporal residual network based on Region-reConStruction algorithm for shared bike prediction

Abstract As a new form of public transportation, shared bikes have greatly facilitated people’s travel in recent years. However, in the actual operation process, the uneven distribution of bicycles at each shared bicycle station has limited the travel experience. In this paper, we propose a deep spa...

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Bibliographic Details
Main Authors: Yanyan Tan, Bin Wang, Zeyuan Yan, Haoran Liu, Huaxiang Zhang
Format: Article
Language:English
Published: Springer 2022-06-01
Series:Complex & Intelligent Systems
Subjects:
Spatio-temporal data mining
Urban computing
Gaussian mixture model cluster
Citywide bike usage prediction
Deep learning
Online Access:https://doi.org/10.1007/s40747-022-00781-y

Internet

https://doi.org/10.1007/s40747-022-00781-y

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