Florian Toqué, Mostepha Khouadjia, Étienne Come, Martin Trépanier and Latifa Oukhellou
Paper (2017)
An external link is available for this itemAdditional Information: | Article no. 1570382670 |
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Department: | Department of Mathematics and Industrial Engineering |
Research Center: | CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation |
PolyPublie URL: | https://publications.polymtl.ca/40098/ |
Conference Title: | 20th IEEE International Conference on Intelligent Transportation Systems (ITSC 2017) |
Conference Location: | Yokohama, Japan |
Conference Date(s): | 2017-10-16 - 2017-10-19 |
Publisher: | IEEE |
DOI: | 10.1109/itsc.2017.8317939 |
Official URL: | https://doi.org/10.1109/itsc.2017.8317939 |
Date Deposited: | 18 Apr 2023 15:05 |
Last Modified: | 25 Sep 2024 16:25 |
Cite in APA 7: | Toqué, F., Khouadjia, M., Come, É., Trépanier, M., & Oukhellou, L. (2017, October). Short & long term forecasting of multimodal transport passenger flows with machine learning methods [Paper]. 20th IEEE International Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan. https://doi.org/10.1109/itsc.2017.8317939 |
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