Spatiotemporal Graph Convolutional Neural Network for Robust and Accurate Traffic Flow Prediction

Onderzoeksoutput: Scriptie › Dissertatie 1 (Onderzoek TU/e / Promotie TU/e)

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Originele taal-2	Engels
Kwalificatie	Doctor in de Filosofie
Toekennende instantie	Built Environment
Begeleider(s)/adviseur	Rasouli, Soora, Promotor Feng, Tao, Promotor Wong, Melvin, Co-Promotor
Datum van toekenning	13 mei 2024
Plaats van publicatie	Eindhoven
Uitgever	Eindhoven University of Technology
Gedrukte ISBN's	978-90-386-6029-5
Status	Gepubliceerd - 13 mei 2024

Proefschrift.

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@phdthesis{e5fe32ef76a546289de7b58ba33c87dd,

title = "Spatiotemporal Graph Convolutional Neural Network for Robust and Accurate Traffic Flow Prediction",

author = "Yutian Liu",

note = "Proefschrift.",

year = "2024",

month = may,

day = "13",

language = "English",

isbn = "978-90-386-6029-5",

series = "Bouwstenen",

publisher = "Eindhoven University of Technology",

type = "Phd Thesis 1 (Research TU/e / Graduation TU/e)",

school = "Built Environment",

}