Attention based graph Bi-LSTM networks for traffic forecasting

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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書目詳細資料
Main Authors:	Zhao, Han, Yang, Huan, Wang, Yu, Wang, Danwei, Su, Rong
其他作者:	School of Electrical and Electronic Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2021
主題:	Engineering Intelligent Transportation Systems Traffic Forecasting
在線閱讀:	https://hdl.handle.net/10356/146155
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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