Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles

Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles

Congestion in the world’s traffic systems is a major issue that has far-reaching repercussions, including wasted time and money due to longer commutes and more frequent stops for gas. The incorporation of contemporary technologies into transportation systems creates opportunities to signi...

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Bibliographic Details
Main Authors: Abdul Hussain Ali Hussain, Montadar Abas Taher, Omar Abdulkareem Mahmood, Yousif I. Hammadi, Reem Alkanhel, Ammar Muthanna, Andrey Koucheryavy
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Flow prediction
BiLSTM
deep neural network
GRU
LSTM
urban transportation
Online Access:https://ieeexplore.ieee.org/document/10108955/

Internet

https://ieeexplore.ieee.org/document/10108955/

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