Identification of Freeway Traffic Congestion From Social Media Using a Hybrid Deep Learning Method: A Case Study

ABSTRACT The massive real‐time data shared by Internet users provides a potentially rich resource for detecting traffic congestion. Targeting China's predominant social network platform, ‘Sina Weibo’, this paper proposes a hybrid deep learning method to mine valuable freeway traffic congestion infor...

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Ngā kaituhi matua:	Zhao Liu, Shanglu He, Huachun Tan, Fan Ding
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Wiley 2025-01-01
Rangatū:	IET Intelligent Transport Systems
Ngā marau:	crowdsourcing data deep learning text mining traffic congestion
Urunga tuihono:	https://doi.org/10.1049/itr2.70103
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!