Compression, estimation and prediction models for large road networks

Developing models for large road networks is not a trivial task. We propose data driven models that can help intelligent transportation systems (ITS) in dealing with issues such as managing large amount of traffic information and incomplete data sets. Furthermore, we also discuss the problem of traf...

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Bibliographic Details
Main Author:	Muhammad Tayyab Asif
Other Authors:	Justin Dauwels
Format:	Theses and Dissertations
Language:	English
Published:	2016
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/65985
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-659852023-07-04T17:44:49Z Compression, estimation and prediction models for large road networks Muhammad Tayyab Asif Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Developing models for large road networks is not a trivial task. We propose data driven models that can help intelligent transportation systems (ITS) in dealing with issues such as managing large amount of traffic information and incomplete data sets. Furthermore, we also discuss the problem of traffic prediction in the context of large-scale networks. DOCTOR OF PHILOSOPHY (EEE) 2016-02-15T02:59:33Z 2016-02-15T02:59:33Z 2016 Thesis Muhammad Tayyab Asif. (2016). Compression, estimation and prediction models for large road networks. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/65985 10.32657/10356/65985 en 152 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Muhammad Tayyab Asif Compression, estimation and prediction models for large road networks
description	Developing models for large road networks is not a trivial task. We propose data driven models that can help intelligent transportation systems (ITS) in dealing with issues such as managing large amount of traffic information and incomplete data sets. Furthermore, we also discuss the problem of traffic prediction in the context of large-scale networks.
author2	Justin Dauwels
author_facet	Justin Dauwels Muhammad Tayyab Asif
format	Theses and Dissertations
author	Muhammad Tayyab Asif
author_sort	Muhammad Tayyab Asif
title	Compression, estimation and prediction models for large road networks
title_short	Compression, estimation and prediction models for large road networks
title_full	Compression, estimation and prediction models for large road networks
title_fullStr	Compression, estimation and prediction models for large road networks
title_full_unstemmed	Compression, estimation and prediction models for large road networks
title_sort	compression, estimation and prediction models for large road networks
publishDate	2016
url	https://hdl.handle.net/10356/65985
_version_	1772827780394778624

Compression, estimation and prediction models for large road networks

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