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.
Liste complète des métadonnées

Cited literature [29 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01275311
Contributor : Michel Fliess <>
Submitted on : Friday, September 2, 2016 - 9:50:30 PM
Last modification on : Wednesday, March 27, 2019 - 4:41:27 PM

File

TroyesTraffic16.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-01275311, version 2
  • 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), IFAC, Jun 2016, Troyes, France. ⟨hal-01275311v2⟩

Share

Metrics

Record views

1403

Files downloads

263