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A Scalable Approach for Short-Term Predictions of Link Traffic Flow by Online Association of Clustering Profiles Cover

A Scalable Approach for Short-Term Predictions of Link Traffic Flow by Online Association of Clustering Profiles

Transport and Telecommunication Journal
Volume 21 (2020): Issue 2 (April 2020)
By: Alessandro Attanasi,  Marco Pezzulla,  Luca Simi,  Lorenzo Meschini and  Guido Gentile  
Open Access
|Apr 2020

Authors

Alessandro Attanasi

alessandro.attanasi@ptvgroup.com

Rome, Italy

Marco Pezzulla

marco.pezzulla@ptvgroup.com

Rome, Italy

Luca Simi

luca.simi@ptvgroup.com

Rome, Italy

Lorenzo Meschini

lorenzo.meschini@ptvgroup.com

Rome, Italy

Guido Gentile

guido.gentile@uniroma1.it

Sapienza Università di Roma, Rome, Italy
DOI: https://doi.org/10.2478/ttj-2020-0009 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 119 - 124
Published on: Apr 30, 2020
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
forecast,
clustering,
Big Data,
scalable architecture
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2020 Alessandro Attanasi, Marco Pezzulla, Luca Simi, Lorenzo Meschini, Guido Gentile, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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