A dynamic approach to predict travel time in real time using data driven techniques and comprehensive data sources

A dynamic approach to predict travel time in real time using data driven techniques and comprehensive data sources

Having access to accurate travel time is of great importance for both highway network users and traffic engineers. The travel time which is currently reported on highways is usually estimated by employing naïve methods and using limited sources of data. This could result in unreliable and inaccurate...

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Bibliographic Details
Main Authors:	Homa Taghipour, Amir Bahador Parsa, Abolfazl (Kouros) Mohammadian
Format:	Article
Language:	English
Published:	Elsevier 2020-12-01
Series:	Transportation Engineering
Subjects:	Dynamic travel time prediction Machine learning Artificial neural network K-nearest neighbors Random forest
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666691X20300269

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