On short-term traffic flow forecasting and its reliability

Abstract : Recent advances in time series, where deterministic and stochastic modelings as well as the storage and analysis of big data are useless, permit a new approach to short-term traffic flow forecasting and to its reliability, i.e., to the traffic volatility. Several convincing computer simulations, which utilize concrete data, are presented and discussed.
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https://hal.archives-ouvertes.fr/hal-01275311
Contributeur : Michel Fliess <>
Soumis le : vendredi 19 février 2016 - 16:50:06
Dernière modification le : vendredi 17 novembre 2017 - 08:50:20
Document(s) archivé(s) le : vendredi 20 mai 2016 - 10:29:33

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Troyes16_TrafficForecast.pdf
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  • HAL Id : hal-01275311, version 1
  • ARXIV : 1602.08355

Citation

Hassane Abouaïssa, Michel Fliess, Cédric Join. On short-term traffic flow forecasting and its reliability. 8th IFAC Conference on Manufacturing Modelling, Management & Control (MIM 2016), Jun 2016, Troyes, France. 2016, 8th IFAC Conference on Manufacturing Modelling, Management & Control. 〈hal-01275311v1〉

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