Deep Temporal Convolutional Networks for Short-Term Traffic Flow Forecasting

Deep Temporal Convolutional Networks for Short-Term Traffic Flow Forecasting

To reduce the increasingly congestion in cities, it is essential for intelligent transportation system (ITS) to accurately forecast the short-term traffic flow to identify the potential congestion sites. In recent years, the emerging deep learning method has been introduced to design traffic flow pr...

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Bibliographic Details
Main Authors: Wentian Zhao, Yanyun Gao, Tingxiang Ji, Xili Wan, Feng Ye, Guangwei Bai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
temporal convolutional networks
short-term forecasting
Online Access:https://ieeexplore.ieee.org/document/8801840/

Internet

https://ieeexplore.ieee.org/document/8801840/

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