Deep Learning Algorithms for Traffic Forecasting: A Comprehensive Review and Comparison with Classical Ones

Deep Learning Algorithms for Traffic Forecasting: A Comprehensive Review and Comparison with Classical Ones

Accurate and timely forecasting of critical components is pivotal in intelligent transportation systems and traffic management, crucially mitigating congestion and enhancing safety. This paper aims to comprehensively review deep learning algorithms and classical models employed in traffic forecastin...

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Bibliographic Details
Main Authors:	Shahriar Afandizadeh, Saeid Abdolahi, Hamid Mirzahossein
Format:	Article
Language:	English
Published:	Wiley 2024-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2024/9981657
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