measuring the complexity of self-organizing traffic lights

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ID: 184562
2014
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Abstract
We apply measures of complexity, emergence, and self-organization to an urban traffic model for comparing a traditional traffic-light coordination method with a self-organizing method in two scenarios: cyclic boundaries and non-orientable boundaries. We show that the measures are useful to identify and characterize different dynamical phases. It becomes clear that different operation regimes are required for different traffic demands. Thus, not only is traffic a non-stationary problem, requiring controllers to adapt constantly; controllers must also change drastically the complexity of their behavior depending on the demand. Based on our measures and extending Ashby’s law of requisite variety, we can say that the self-organizing method achieves an adaptability level comparable to that of a living system.
Reference Key
zubillaga2014entropymeasuring Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Darío Zubillaga;Geovany Cruz;Luis Daniel Aguilar;Jorge Zapotécatl;Nelson Fernández;José Aguilar;David A. Rosenblueth;Carlos Gershenson
Journal European journal of medicinal chemistry
Year 2014
DOI
10.3390/e16052384
URL
http://www.mdpi.com/1099-4300/16/5/2384
Keywords
information cellular automata adaptation complexity emergence traffic self-organization

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