Detecting and interpreting non‐recurrent congestion from traffic and social media data

Abstract A non‐recurring incident often negatively affects traffic, which is represented as non‐recurrent congestion. However, travellers can usually perceive congestion without knowing the underlying reasons. Accordingly, this paper proposes a data‐driven framework for non‐recurrent congestion dete...

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Autores principales: Sen Luan, Xiaolei Ma, Meng Li, Yuelong Su, Zhenning Dong
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/fff14d153a944859b6ce861474079dc4
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