• DocumentCode
    2365674
  • Title

    A non dynamic model for ITS assessment

  • Author

    Aron, Maurice ; Seidowsky, Régine ; Cohen, Simon

  • Author_Institution
    GRETTIA Lab., Univ. Paris Est, Noisy le Grand, France
  • fYear
    2011
  • fDate
    5-7 Oct. 2011
  • Firstpage
    865
  • Lastpage
    872
  • Abstract
    One of the elements of ITS assessment is the comparison of actual traffic conditions (after ITS has been installed) and traffic conditions which would have occurred, had no change happened. Apart from traffic simulation, which is the most appropriate tool to predict traffic conditions in the case of saturation by virtue of the dynamic (in time and space) equations included, a data driven traffic model is a credible alternative, particularly when congestion is not the core of the problem and when the closeness to initial data is important to compare indicators. Such a tool is outlined here, with its advantages and drawbacks. A very limited numerical application is given. Lines of future research to develop the model are proposed.
  • Keywords
    automated highways; traffic engineering computing; ITS assessment; data driven traffic model; nondynamic model; traffic conditions; traffic simulation; Computational modeling; Equations; Estimation; Linear regression; Mathematical model; Predictive models; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4577-2198-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2011.6082813
  • Filename
    6082813