The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview

The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview

AbstractThis paper reviews the application of artificial intelligence (AI)-based models in modeling vehicular road traffic noise. A computerized search method was used to conduct the literature search. Fifty published articles from 2007 to 2023 were reviewed regarding observation time, input data, c...

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Bibliographic Details
Main Authors: Ibrahim Khalil Umar, Musa Adamu, Nour Mostafa, Malik Sarmad Riaz, Sadi I. Haruna, Mukhtar Fatihu Hamza, Omar Shabbir Ahmed, Marc Azab
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Engineering
Subjects:
Artificial intelligence
noise
speed
vehicular traffic
prediction
Sanjay Kumar Shukla
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2023.2297508

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