A multi-layer CNN-GRUSKIP model based on transformer for spatial: temporal traffic flow prediction

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A multi-layer CNN-GRUSKIP model based on transformer for spatial: temporal traffic flow prediction

Traffic flow prediction remains a cornerstone for intelligent transportation systems (ITS), influencing both route optimization and environmental efforts. While Recurrent Neural Networks (RNN) and traditional Convolutional Neural Networks (CNN) offer some insights into the spatial–temporal dynamics...

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Bibliographic Details
Main Authors:	Mohammad Ata, Karimeh Ibrahim, Hassan, Mohd Khair, Ismaeel, Ayad Ghany, Al-Haddad, Syed Abdul Rahman, Alquthami, Thamer‎, Alani, Sameer
Format:	Article
Language:	English
Published:	Elsevier 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/114860/ http://psasir.upm.edu.my/id/eprint/114860/1/114860.pdf

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