Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network

Kai Fang; Enze Yang; Yuxin Liu; Shuoyan Liu

doi:10.1007/978-3-030-87358-5_3

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Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network

Kai Fang Enze Yang Yuxin Liu Shuoyan Liu

Year: 2021 Lecture notes in computer science Pages: 30-41 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-87358-5_3

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Keywords:

Computer science Margin (machine learning) Convolution (computer science) Dimension (graph theory) Feature (linguistics) Flow (mathematics) Data mining Dependency (UML) Artificial intelligence Pattern recognition (psychology) Machine learning Artificial neural network

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Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network

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