Traffic flow prediction models – A review of deep learning techniques

Traffic flow prediction models – A review of deep learning techniques

Traffic flow prediction is an essential part of the intelligent transport system. This is the accurate estimation of traffic flow in a given region at a particular interval of time in the future. The study of traffic forecasting is useful in mitigating congestion and make safer and cost-efficient tr...

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Bibliographic Details
Main Authors: Anirudh Ameya Kashyap, Shravan Raviraj, Ananya Devarakonda, Shamanth R Nayak K, Santhosh K V, Soumya J Bhat
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Cogent Engineering
Subjects:
deep learning
deep neural networks
hybrid models
intelligent transport system
traffic flow prediction
unsupervised learning
Online Access:http://dx.doi.org/10.1080/23311916.2021.2010510

Internet

http://dx.doi.org/10.1080/23311916.2021.2010510

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