From global open multi-source data to network-wide traffic flow:A large-scale case study across multiple citiesOA
From global open multi-source data to network-wide traffic flow:A large-scale case study across multiple cities
Zijian Hu;Zhenjie Zheng;Monica Menendez;Wei Ma
Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong,999077,ChinaDepartment of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong,999077,ChinaDivision of Engineering,New York University Abu Dhabi,Abu Dhabi,PO Box 129188,United Arab EmiratesDepartment of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong,999077,China
Network-wide traffic flowCross-city estimationGlobal open multi-source(GOMS)dataGraph neural networkMap images
Network-wide traffic flowCross-city estimationGlobal open multi-source(GOMS)dataGraph neural networkMap images
《交通研究通讯（英文）》 2025 (4)
148-169,22
The work described in this paper is supported by grants from the Research Grants Council of the Hong Kong Special Administrative Re-gion,China(Nos.PolyU/15206322 and PolyU/15227424).Monica Menendez acknowledges the support of the NYUAD Center for Inter-acting Urban Networks(CITIES),funded by Tamkeen under the NYUAD Research Institute Award CG001.The contents of this article reflect the views of the authors,who are responsible for the facts and accuracy of the information presented herein.
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