Traffic forecasting with graph spatial-temporal position recurrent network

With the development of social economy and smart technology, the explosive growth of vehicles has caused traffic forecasting to become a daunting challenge, especially for smart cities. Recent methods exploit graph spatial-temporal characteristics, including constructing the shared patterns of traff...

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Bibliographic Details
Main Authors: Chen, Yibi, Li, Kenli, Yeo, Chai Kiat, Li, Keqin
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/172787
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Institution: Nanyang Technological University
Language: English

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