A Multiscale-Grid-Based Stacked Bidirectional GRU Neural Network Model for Predicting Traffic Speeds of Urban Expressways

A Multiscale-Grid-Based Stacked Bidirectional GRU Neural Network Model for Predicting Traffic Speeds of Urban Expressways

In recent decades, studies on short-term traffic speed forecasting of the large-scale road are a new challenge for researchers and engineers. Especially based on deep learning neural networks, studies on short-term traffic forecasting have achieved mush-room growth. This study proposes a stacked Bid...

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Bibliographic Details
Main Authors: Deqi Chen, Xuedong Yan, Xiaobing Liu, Shurong Li, Liwei Wang, Xinmei Tian
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Stacked bidirectional gated recurrent unit network
multiscale grid model
traffic speed prediction
floating car data
Online Access:https://ieeexplore.ieee.org/document/9241844/

Internet

https://ieeexplore.ieee.org/document/9241844/

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