• DocumentCode
    642305
  • Title

    First steps from a traffic node to traffic networks — Modeling and stability

  • Author

    Wior, Ireneus ; Ladiges, Jan ; Arroyo, Esteban ; Fay, Alexander

  • Author_Institution
    Inst. of Autom. Technol., Helmut Schmidt Univ., Hamburg, Germany
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Introducing decentralized control concepts in traffic networks opens up the potential to deal with high system complexity and to increase disturbance robustness. However, influencing the traffic dynamics with a decentralized concept, and hence having only a local view of the network, can cause undesirable effects such as oscillating traffic flows and traffic jams. This paper presents a traffic oscillation problem based on delayed feedback information. Realistic traffic data is used to generate an aggregated continuous model of a traffic intersection, based on which frequency and time domain approaches to stability analysis can be applied. Drawing upon the results of single traffic intersections, different traffic network constellations are examined to form a basis for modeling and stability analysis of complex traffic systems.
  • Keywords
    feedback; frequency-domain analysis; road traffic; stability; time-domain analysis; aggregated continuous model; complex traffic systems; delayed feedback information; frequency domain approach; realistic traffic data; single traffic intersections; stability analysis; time domain approach; traffic network constellations; traffic networks; traffic node; traffic oscillation problem; Analytical models; Mathematical model; Oscillators; Robust stability; Stability criteria; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
  • Conference_Location
    Cagliari
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4799-0862-2
  • Type

    conf

  • DOI
    10.1109/ETFA.2013.6648164
  • Filename
    6648164