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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Autors principals:	Zhao Liu, Shanglu He, Huachun Tan, Fan Ding
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-01-01
Col·lecció:	IET Intelligent Transport Systems
Matèries:	crowdsourcing data deep learning text mining traffic congestion
Accés en línia:	https://doi.org/10.1049/itr2.70103
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