Organic Control of Traffic Lights

  • Authors:
  • Holger Prothmann;Fabian Rochner;Sven Tomforde;Jürgen Branke;Christian Müller-Schloer;Hartmut Schmeck

  • Affiliations:
  • Karlsruhe Institute of Technology (KIT), Univ. Karlsruhe (TH) --- Institute AIFB, Karlsruhe, Germany 76128;Institute of Systems Engineering, Leibniz Univ. Hannover, Hannover, Germany 30167;Institute of Systems Engineering, Leibniz Univ. Hannover, Hannover, Germany 30167;Karlsruhe Institute of Technology (KIT), Univ. Karlsruhe (TH) --- Institute AIFB, Karlsruhe, Germany 76128;Institute of Systems Engineering, Leibniz Univ. Hannover, Hannover, Germany 30167;Karlsruhe Institute of Technology (KIT), Univ. Karlsruhe (TH) --- Institute AIFB, Karlsruhe, Germany 76128

  • Venue:
  • ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
  • Year:
  • 2008

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Abstract

In recent years, Autonomic and Organic Computing have become areas of active research in the computer science community. Both initiatives aim at handling the growing complexity in technical systems by creating systems with adaptation and self-optimisation capabilities. One application scenario for such "life-like" systems is the control of road traffic signals in urban areas. This paper presents an organic approach to traffic light control and analyses its performance by an experimental validation of the proposed architecture which demonstrates its benefits compared to classical traffic control.