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From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data. (arXiv:2009.13794v3 [cs.SI] UPDATED)
Jan. 3, 2022, 2:10 a.m. | Weiran Yao, Sean Qian
cs.LG updates on arXiv.org arxiv.org
The effectiveness of traditional traffic prediction methods is often
extremely limited when forecasting traffic dynamics in early morning. The
reason is that traffic can break down drastically during the early morning
commute, and the time and duration of this break-down vary substantially from
day to day. Early morning traffic forecast is crucial to inform morning-commute
traffic management, but they are generally challenging to predict in advance,
particularly by midnight. In this paper, we propose to mine Twitter messages as
a …
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