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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Wiley
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/fff14d153a944859b6ce861474079dc4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|