Attention based graph Bi-LSTM networks for traffic forecasting

Traffic forecasting is of great importance to vehicle routing, traffic signal control and urban planning. However, traffic forecasting task is challenging due to several factors, such as complex spatial topological structure and dynamic changing of traffic status. Most existing methods have limited...

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Bibliographic Details
Main Authors: Zhao, Han, Yang, Huan, Wang, Yu, Wang, Danwei, Su, Rong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146155
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Institution: Nanyang Technological University
Language: English

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