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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of advanced transportation Vol. 2024; no. 1
Main Authors:	Afandizadeh, Shahriar, Abdolahi, Saeid, Mirzahossein, Hamid
Format:	Journal Article
Language:	English
Published:	London John Wiley & Sons, Inc 11.09.2024 Wiley
Subjects:	Algorithms Analysis Artificial intelligence Computational linguistics Critical components Data mining Deep learning Forecasting Forecasts and trends Information sources Intelligent transportation systems Language processing Learning algorithms Literature reviews Machine learning Natural language interfaces Safety management Social networks Traffic analysis Traffic congestion Traffic management Transportation models Trinidad and Tobago
ISSN:	0197-6729, 2042-3195
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!