TY  - JOUR
AB  - Purpose– The purpose of this paper is to compare qualitatively two methods for coordinating traffic lights: a static optimization “green wave” method and an adaptive self‐organizing method.Design/methodology/approach– Statistical results were obtained from implementing a recently proposed model of city traffic based on elementary cellular automata in a computer simulation.Findings– The self‐organizing method delivers considerable improvements over the green‐wave method. Seven dynamical regimes and six phase transitions are identified and analyzed for the self‐organizing method.Practical implications– The paper shows that traffic light coordination can be improved in cities by using self‐organizing methods.Social implications– This improvement can have a noticeable effect on the quality of life of citizens.Originality/value– Understanding how self‐organization obtains adaptive solutions for complex problems can contribute to building more efficient systems.
VL  - 41
IS  - 3/4
SN  - 0368-492X
DO  - 10.1108/03684921211229479
UR  - https://doi.org/10.1108/03684921211229479
AU  - Gershenson Carlos
AU  - Rosenblueth David A.
PY  - 2012
Y1  - 2012/01/01
TI  - Adaptive self‐organization vs static optimization: A qualitative comparison in traffic light coordination
T2  - Kybernetes
PB  - Emerald Group Publishing Limited
SP  - 386
EP  - 403
Y2  - 2024/04/18
ER  -