• DocumentCode
    478653
  • Title

    Traffic flow model based on the green- function

  • Author

    Nikolov, E.

  • Author_Institution
    Dept. Autom., Tech. Univ. of Sofia, Sofia
  • Volume
    1
  • fYear
    2008
  • fDate
    6-8 Sept. 2008
  • Firstpage
    42485
  • Lastpage
    11780
  • Abstract
    In the present article we offer a method for the highway traffic flow modeling, based on the Green function as a transformation tool. This approach is suitable for distributed parameter systems in order to reformulate their partial differential equation description as sets of transfer functions. The model used in our work is the macroscopic continuous Lighthill-Whitham-Richards representation. The physical phenomena characteristic for the vehicular flow on a highway section are analyzed over some important length. This implies the description of the traffic as a distributed parameter plant. We present the Green function transformationpsilas general case and after we apply it to the considered traffic flow model in order to obtain its transfer function form. The sets of expressions obtained can be specified using concrete fundamental diagrams and data, and also can be implemented in the design of control strategies.
  • Keywords
    Green´s function methods; control system synthesis; distributed parameter systems; partial differential equations; road traffic; Green function; control strategies; distributed parameter systems; highway traffic flow modeling; partial differential equation; traffic flow model; Analytical models; Distributed parameter systems; Green function; Hydrodynamics; Intelligent systems; Partial differential equations; Road transportation; Road vehicles; Traffic control; Transfer functions; Green function transformations; macroscopic traffic flow model; representation transfer function form;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
  • Conference_Location
    Varna
  • Print_ISBN
    978-1-4244-1739-1
  • Electronic_ISBN
    978-1-4244-1740-7
  • Type

    conf

  • DOI
    10.1109/IS.2008.4670421
  • Filename
    4670421