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Kim et al., 2018 - Google Patents

A capsule network for traffic speed prediction in complex road networks

Kim et al., 2018

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Document ID
7009226668498872054
Author
Kim Y
Wang P
Zhu Y
Mihaylova L
Publication year
Publication venue
2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF)

External Links

Snippet

This paper proposes a deep learning approach for traffic flow prediction in complex road networks. Traffic flow data from induction loop sensors are essentially a time series, which is also spatially related to traffic in different road segments. The spatio-temporal traffic data can …
Continue reading at arxiv.org (PDF) (other versions)

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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/46Extraction of features or characteristics of the image
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