Short-Term Traffic Delay Prediction at the Niagara Frontier Border Crossings: Comparing Deep Learning and Statistical Modeling Approaches
Author:
Funder
U.S. Department of Transportation
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42421-020-00019-8.pdf
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4. Bartlett Andrew P, Qiao Chunming, He Qing, Sadek Adel W (2020) Factors affecting international border crossing delays based upon a rich bluetooth dataset. J Big Data Anal Transp 2(1):33–47. https://doi.org/10.1007/s42421-020-00016-x
5. Bianchi FM, Maiorino E, Kampffmeyer MC, Rizzi A, Jenssen R (2017) Recurrent neural networks for short-term load forecasting: an overview and comparative analysis. Book, whole. Springer, Cham. https://doi.org/10.1007/978-3-319-70338-1
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