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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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Wiley
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/fff14d153a944859b6ce861474079dc4 |
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