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:
Online Access:https://hdl.handle.net/10356/65985
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.