Chapter

Autonomic and Trusted Computing

Volume 5060 of the series Lecture Notes in Computer Science pp 219-233

Organic Control of Traffic Lights

  • Holger ProthmannAffiliated withKarlsruhe Institute of Technology (KIT), Univ. Karlsruhe (TH) – Institute AIFB
  • , Fabian RochnerAffiliated withInstitute of Systems Engineering, Leibniz Univ. Hannover
  • , Sven TomfordeAffiliated withInstitute of Systems Engineering, Leibniz Univ. Hannover
  • , Jürgen BrankeAffiliated withKarlsruhe Institute of Technology (KIT), Univ. Karlsruhe (TH) – Institute AIFB
  • , Christian Müller-SchloerAffiliated withInstitute of Systems Engineering, Leibniz Univ. Hannover
  • , Hartmut SchmeckAffiliated withKarlsruhe Institute of Technology (KIT), Univ. Karlsruhe (TH) – Institute AIFB

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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.