Spatio‐temporal expand‐and‐squeeze networks for crowd flow prediction in metropolis

Spatio‐temporal expand‐and‐squeeze networks for crowd flow prediction in metropolis

The use of deep learning methods to predict traffic flow in transportation systems has become a hot research project. The existing predictive model method faces problems such as long calculation time and difficult data pre‐processing, especially for the prediction effect of high traffic area. In thi...

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Bibliographic Details
Main Authors: Bing Yang, Yan Kang, Hao Li, Yachuan Zhang, Yan Yang, Lan Zhang
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:IET Intelligent Transport Systems
Subjects:
crowd flow prediction
deep learning methods
traffic flow characteristics
traffic trajectory
traffic duration
inverted residual convolution structures
Online Access:https://doi.org/10.1049/iet-its.2019.0377

Internet

https://doi.org/10.1049/iet-its.2019.0377

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