A deep approach of affluence forecasting in subway networks

Last updated on 09 March 2020 3:27
A common problematic in transportation network is to predict what will be the count of passengers that will enter in a station using context information. This information can be modelled as a multivariate time-series. Recurrent Neural Networks are Artificial Neural Networks which memorize the past to predict the future and...
Author(s): Baskiotis Nicolas;Becirspahic Lucas;Brault Romain;Duguet Stephane;Guigue Vincent;Guiguet Valentin;Lorin Stephane;Thouvenot Vincent
2019
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