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Conference Paper: Predicting traffic for one city by learning from another city: a graph network-based transfer learning approach

TitlePredicting traffic for one city by learning from another city: a graph network-based transfer learning approach
Authors
Li, MLam, WHKChow, AHFWong, SCMa, W
Issue Date2021
Citation
The 25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, Hong Kong, 9-10 December 2021 How to Cite?
DescriptionSession C2: Transportation and Geography
Persistent Identifierhttp://hdl.handle.net/10722/309417

 

DC FieldValueLanguage
dc.contributor.authorLi, M-
dc.contributor.authorLam, WHK-
dc.contributor.authorChow, AHF-
dc.contributor.authorWong, SC-
dc.contributor.authorMa, W-
dc.date.accessioned2021-12-29T02:14:50Z-
dc.date.available2021-12-29T02:14:50Z-
dc.date.issued2021-
dc.identifier.citationThe 25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, Hong Kong, 9-10 December 2021-
dc.identifier.urihttp://hdl.handle.net/10722/309417-
dc.descriptionSession C2: Transportation and Geography-
dc.languageeng-
dc.relation.ispartofThe 25th International Conference of Hong Kong Society for Transportation Studies-
dc.titlePredicting traffic for one city by learning from another city: a graph network-based transfer learning approach-
dc.typeConference_Paper-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.identifier.hkuros331189-

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