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 |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/fff14d153a944859b6ce861474079dc4 |
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