Prediction of railroad user count using number of route searches via bivariate state–space modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05642-0.pdf
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5. Zhou M, Wang D, Li Q, Yue Y, Tu W, Cao R (2017) Impacts of weather on public transport ridership: results from mining data from different sources. Transp Res C Emerg Technol 75:17–29. https://doi.org/10.1016/j.trc.2016.12.001
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