Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition

Bie, Y; Wang, D; Qu, X

Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition

Bie, Y Wang, D Qu, X

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Publication Type:: Journal Article
Citation:: IET Intelligent Transport Systems, 2013, 7 (1), pp. 28 - 35
Issue Date:: 2013-03-01

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Field	Value	Language
dc.contributor.author	Bie, Y	en_US
dc.contributor.author	Wang, D	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.date.issued	2013-03-01	en_US
dc.identifier.citation	IET Intelligent Transport Systems, 2013, 7 (1), pp. 28 - 35	en_US
dc.identifier.issn	1751-956X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/117098
dc.description.abstract	Correlation degree between adjacent signalised intersections is considered as the most important component in subarea partition algorithm. In this study, contributing factors for subarea partition are selected by taking into consideration the differences with respect to cycle lengths, link length and path flow between upstream and downstream coordinated phases. Their impacts on performance index of subarea partition are further studied using numerical experiments. The study then proceeds to propose a correlation degree index (CI) as an alternative for the performance index in order to reduce the computational complexity. The relationship between CI and the contributing factors is established to predict the correlation degree. Finally, the model is validated using field survey data. © The Institution of Engineering and Technology 2013.	en_US
dc.relation.ispartof	IET Intelligent Transport Systems	en_US
dc.relation.isbasedon	10.1049/iet-its.2011.0224	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.title	Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	7	en_US
utslib.for	090505 Infrastructure Engineering and Asset Management	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	7	en_US

Abstract:

Correlation degree between adjacent signalised intersections is considered as the most important component in subarea partition algorithm. In this study, contributing factors for subarea partition are selected by taking into consideration the differences with respect to cycle lengths, link length and path flow between upstream and downstream coordinated phases. Their impacts on performance index of subarea partition are further studied using numerical experiments. The study then proceeds to propose a correlation degree index (CI) as an alternative for the performance index in order to reduce the computational complexity. The relationship between CI and the contributing factors is established to predict the correlation degree. Finally, the model is validated using field survey data. © The Institution of Engineering and Technology 2013.

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http://hdl.handle.net/10453/117098