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Article: Network topological effects on the macroscopic fundamental Diagram

TitleNetwork topological effects on the macroscopic fundamental Diagram
Authors
KeywordsNetwork topological effects
macroscopic fundamental diagram
macroscopic underwood’s model
global positioning system
Issue Date2021
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20
Citation
Transportmetrica B: Transport Dynamics, 2021, v. 9, p. 376-398 How to Cite?
AbstractNetwork topologies are considered to be the fundamental factors that govern the network’s macroscopic fundamental diagram (MFD) and performance. Despite its significance, this domain remains underexplored. This study employed empirical data as evidence to examine the explicit connections between network topologies and the parameters of a specific MFD, in the form of a macroscopic Underwood’s model. Sixty-three 1 × 1 km dense urban networks were sampled in Hong Kong. The macroscopic Underwood’s models of the sampled networks were estimated based on taxi Global Positioning System (GPS) data. The results reveal that the network free-flow speed decreased with the average number of junctions per unit distance, which captures the frequency of network-induced stop-and-go vehicle motion. The network optimal density decreased with the degree density normalized by the trafficable area, which represents the intensity of the conflicts between traffic streams. A spatially variable macroscopic Underwood’s model was subsequently established.
DescriptionBronze open access
Persistent Identifierhttp://hdl.handle.net/10722/296392
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 1.188
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWONG, W-
dc.contributor.authorWong, SC-
dc.contributor.authorLiu, HX-
dc.date.accessioned2021-02-22T04:54:38Z-
dc.date.available2021-02-22T04:54:38Z-
dc.date.issued2021-
dc.identifier.citationTransportmetrica B: Transport Dynamics, 2021, v. 9, p. 376-398-
dc.identifier.issn2168-0566-
dc.identifier.urihttp://hdl.handle.net/10722/296392-
dc.descriptionBronze open access-
dc.description.abstractNetwork topologies are considered to be the fundamental factors that govern the network’s macroscopic fundamental diagram (MFD) and performance. Despite its significance, this domain remains underexplored. This study employed empirical data as evidence to examine the explicit connections between network topologies and the parameters of a specific MFD, in the form of a macroscopic Underwood’s model. Sixty-three 1 × 1 km dense urban networks were sampled in Hong Kong. The macroscopic Underwood’s models of the sampled networks were estimated based on taxi Global Positioning System (GPS) data. The results reveal that the network free-flow speed decreased with the average number of junctions per unit distance, which captures the frequency of network-induced stop-and-go vehicle motion. The network optimal density decreased with the degree density normalized by the trafficable area, which represents the intensity of the conflicts between traffic streams. A spatially variable macroscopic Underwood’s model was subsequently established.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20-
dc.relation.ispartofTransportmetrica B: Transport Dynamics-
dc.rightsAccepted Manuscript (AM) i.e. Postprint This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI].-
dc.subjectNetwork topological effects-
dc.subjectmacroscopic fundamental diagram-
dc.subjectmacroscopic underwood’s model-
dc.subjectglobal positioning system-
dc.titleNetwork topological effects on the macroscopic fundamental Diagram-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1080/21680566.2020.1865850-
dc.identifier.scopuseid_2-s2.0-85100241787-
dc.identifier.hkuros321300-
dc.identifier.volume9-
dc.identifier.spage376-
dc.identifier.epage398-
dc.identifier.isiWOS:000613765500001-
dc.publisher.placeUnited Kingdom-

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