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On short-term traffic flow forecasting and its reliability

Author

Listed:
  • Hassane Abouaïssa

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • Michel Fliess

    (LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique, ALIEN)

  • Cédric Join

    (CRAN - Centre de Recherche en Automatique de Nancy - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique, NON-A - Non-Asymptotic estimation for online systems - Inria Lille - Nord Europe - Inria - Institut National de Recherche en Informatique et en Automatique - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, ALIEN)

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.

Suggested Citation

  • Hassane Abouaïssa & Michel Fliess & Cédric Join, 2016. "On short-term traffic flow forecasting and its reliability," Post-Print hal-01275311, HAL.
    • Handle: RePEc:hal:journl:hal-01275311
    Note: View the original document on HAL open archive server: https://hal.science/hal-01275311v2
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    Citations

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    Cited by:

    1. Koussaila Hamiche & Michel Fliess & Cédric Join & Hassane Abouaïssa, 2019. "Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories," Post-Print hal-02050480, HAL.
    2. Michel Fliess & Cédric Join & Maria Bekcheva & Alireza Moradi & Hugues Mounier, 2019. "Easily implementable time series forecasting techniques for resource provisioning in cloud computing," Post-Print hal-02024835, HAL.

    More about this item

    Keywords

    forecasts; financial engineering; time series; management systems; intelligent knowledge-based systems; road traffic; transportation control; persistence; risk; volatility;
    All these keywords.

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