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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
Organisation(s):
Thales Six GTS France ; Paris Sorbonne University ; Thales Transport & ; Security ;
2019
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