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A Frame for an Urban Traffic Control Architecture

  • Teresa de Pedro
  • Ricardo García
  • Carlos González
  • Javier Alonso
  • Enrique Onieva
  • Vicente Milanés
  • Joshué Pérez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5602)

Abstract

Due to its potential for going into details or getting a global view of the system, agent architecture is a good frame to create an urban traffic control system. In fact, the agent architecture has allowed us to design a control system able of coordinating the traffic of a set of cars in certain scenarios, using, as initial core, the car control algorithms. In further steps, a higher level layer with the decision making systems and a lower level layer with the car control actuators have been added to the agents. Finally, the agent architecture can be extended with a higher level layers to control the traffic in critical areas or urban areas.

Keywords

Control Architecture Agent Architecture Advance Driving Assistant System Human Driver Automatic Pilot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Monderman, H., Clarke, E., Baillie, B.H.: Shared Space -: the alternative approach to calming traffic. Traffic engineering & control 47(8), 290–292 (2006)Google Scholar
  2. 2.
    Journal of Field Robotics, special DARPA Urban Challenge (August, September 2008)Google Scholar
  3. 3.
    Arkin, R.C.: Integrating Behavioral, Perceptual and world Knowledge in Reactive Navigation. Robotics and Autonomous Systems 6, 105–122 (1990)CrossRefGoogle Scholar
  4. 4.
    Hoare, C.A.R.: Communicating Sequential Processes. Prentice Hall International, Englewood Cliffs (1985)zbMATHGoogle Scholar
  5. 5.
    Inmos Reference Manual: transputerGoogle Scholar
  6. 6.
    Rosa, R.G., de Pedro, T., Eugenio Naranjo, J., Reviejo, J., y Javier Revuelto, C.G.: Fuzzy Logic Based Lateral Control for Gps Map Tracking. In: IEEE Intelligent Vehicles Symposium, pp. 397–400 (2004)Google Scholar
  7. 7.
    García, R., de Pedro, T., Eugenio Naranjo, J., Reviejo, J., González, C.: Frontal and Lateral Control For Unmanned Vehicles In Urban Tracks. IEEE Intelligent Vehicles (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Teresa de Pedro
    • 1
  • Ricardo García
    • 1
  • Carlos González
    • 1
  • Javier Alonso
    • 1
  • Enrique Onieva
    • 1
  • Vicente Milanés
    • 1
  • Joshué Pérez
    • 1
  1. 1.Instituto de Automática Industrial-CSICMadridEspaña

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