Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems

Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems

Intelligent Transportation Systems (ITS) make use of advanced technologies to optimize interurban and urban traffic, reduce congestion and enhance overall traffic flow. Deep learning (DL) approaches can be widely used for traffic flow monitoring in the ITS. This manuscript introduces the Artificial...

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Bibliographic Details
Main Authors: Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Smart cities
intelligent transportation system
deep learning
traffic management
feature selection
Online Access:https://ieeexplore.ieee.org/document/10379096/
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https://ieeexplore.ieee.org/document/10379096/

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