%0 Journal Article %J Entropy %D 2014 %T Measuring the Complexity of Self-organizing Traffic Lights %A Darío Zubillaga %A Geovany Cruz %A Luis Daniel Aguilar %A Jorge Zapotécatl %A Nelson Fernández %A José Aguilar %A David A. Rosenblueth %A Carlos Gershenson %X 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. %B Entropy %V 16 %P 2384–2407 %G eng %U http://dx.doi.org/10.3390/e16052384 %R 10.3390/e16052384 %0 Conference Paper %B II Simposio Cient{\'ıfico y Tecnológico en Computación SCTC 2012 %D 2012 %T Sistemas Dinámicos como Redes Computacionales de Agentes para la evaluación de sus Propiedades Emergentes. %A Nelson Fernández %A José Aguilar %A Carlos Gershenson %A Oswaldo Terán %B II Simposio Cient{\'ıfico y Tecnológico en Computación SCTC 2012 %C Universidad Central de Venezuela %G eng