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Conference Paper: Unbiased calibration methods for nonlinear transport models using linearly projected data: a case study of macroscopic fundamental diagram

TitleUnbiased calibration methods for nonlinear transport models using linearly projected data: a case study of macroscopic fundamental diagram
Authors
Wong, WWong, SC
Issue Date2017
Citation
The 22nd International Conference of Hong Kong Society for Transportation Studies (HKSTS): Transport and Society, Hong Kong, 9-11 December 2017 How to Cite?
DescriptionSession B3: Transport and Big Data I
Persistent Identifierhttp://hdl.handle.net/10722/250140

 

DC FieldValueLanguage
dc.contributor.authorWong, W-
dc.contributor.authorWong, SC-
dc.date.accessioned2017-12-20T09:21:19Z-
dc.date.available2017-12-20T09:21:19Z-
dc.date.issued2017-
dc.identifier.citationThe 22nd International Conference of Hong Kong Society for Transportation Studies (HKSTS): Transport and Society, Hong Kong, 9-11 December 2017-
dc.identifier.urihttp://hdl.handle.net/10722/250140-
dc.descriptionSession B3: Transport and Big Data I-
dc.languageeng-
dc.relation.ispartofInternational Conference of Hong Kong Society for Transportation Studies-
dc.titleUnbiased calibration methods for nonlinear transport models using linearly projected data: a case study of macroscopic fundamental diagram-
dc.typeConference_Paper-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.identifier.hkuros283868-
dc.publisher.placeHong Kong-

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