Data-driven analysis and forecasting of highway traffic dynamics

The demands on transportation systems continue to grow while the methods for analyzing and forecasting traffic conditions remain limited. Here the authors show a parameter-independent approach for an accurate description, identification and forecasting of spatio-temporal traffic patterns directly fr...

Full description

Saved in:

Bibliographic Details
Main Authors:	A. M. Avila, I. Mezić
Format:	article
Language:	EN
Published:	Nature Portfolio 2020
Subjects:	Science Q
Online Access:	https://doaj.org/article/fa080d70c79b4d53bad8ce4cab97b10e
Tags:	Add Tag No Tags, Be the first to tag this record!

id	oai:doaj.org-article:fa080d70c79b4d53bad8ce4cab97b10e
record_format	dspace
spelling	oai:doaj.org-article:fa080d70c79b4d53bad8ce4cab97b10e2021-12-02T17:32:57ZData-driven analysis and forecasting of highway traffic dynamics10.1038/s41467-020-15582-52041-1723https://doaj.org/article/fa080d70c79b4d53bad8ce4cab97b10e2020-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15582-5https://doaj.org/toc/2041-1723The demands on transportation systems continue to grow while the methods for analyzing and forecasting traffic conditions remain limited. Here the authors show a parameter-independent approach for an accurate description, identification and forecasting of spatio-temporal traffic patterns directly from data.A. M. AvilaI. MezićNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q A. M. Avila I. Mezić Data-driven analysis and forecasting of highway traffic dynamics
description	The demands on transportation systems continue to grow while the methods for analyzing and forecasting traffic conditions remain limited. Here the authors show a parameter-independent approach for an accurate description, identification and forecasting of spatio-temporal traffic patterns directly from data.
format	article
author	A. M. Avila I. Mezić
author_facet	A. M. Avila I. Mezić
author_sort	A. M. Avila
title	Data-driven analysis and forecasting of highway traffic dynamics
title_short	Data-driven analysis and forecasting of highway traffic dynamics
title_full	Data-driven analysis and forecasting of highway traffic dynamics
title_fullStr	Data-driven analysis and forecasting of highway traffic dynamics
title_full_unstemmed	Data-driven analysis and forecasting of highway traffic dynamics
title_sort	data-driven analysis and forecasting of highway traffic dynamics
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/fa080d70c79b4d53bad8ce4cab97b10e
work_keys_str_mv	AT amavila datadrivenanalysisandforecastingofhighwaytrafficdynamics AT imezic datadrivenanalysisandforecastingofhighwaytrafficdynamics
_version_	1718380160948895744

Data-driven analysis and forecasting of highway traffic dynamics

Similar Items