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Dynamic Model for estimating the Macroscopic Fundamental Diagram

  • Hoai Nam Nguyen
  • , Barak Fishbain
  • , Eilyan Bitar
  • , David Mahalel
  • , Per Olof Gutman
  • IFP Energies nouvelles
  • Technion - Israel Institute of Technology
  • Cornell University College of Engineering

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

The Macroscopic Fundamental Diagram (MFD) relates the number of circulating vehicles (or accumulation) to a neighbourhood's average speed or flow. In theory the MFD has a well-defined maximum which remains invariant over time. Recent studies, however, suggest that in practice this is not the case, and the MFD does present a variations over time. These variations in the MFD render traffic simulations, modelling and control schemes inaccurate, as these tools do not capture the dynamic nature of the MFD. This paper presents a dynamic model for estimating the MFD, so it does capture the MFD's time varying nature. A mathematical Kalman-filter based framework for solving the model and estimating the MFD are also presented. The application of the method on a small scale example shows the potential of the method.

langue originaleAnglais
Pages (de - à)297-302
Nombre de pages6
journalIFAC-PapersOnLine
Volume49
Numéro de publication3
Les DOIs
étatPublié - 1 janv. 2016
Modification externeOui

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