Adaptive self-organization vs static optimization A qualitative comparison in traffic light coordination

作者：Gershenson Carlos^*; Rosenblueth David A

来源：Kybernetes, 2012, 41(3-4): 386-403.

DOI：10.1108/03684921211229479

• Self-organization
• Adaptation
• Traffic lights
• Elementary cellular automata
• Phase transitions

Purpose - The purpose of this paper is to compare qualitatively two methods for coordinating traffic lights: a static optimization %26quot;green wave%26quot; method and an adaptive self-organizing method. %26lt;br%26gt;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. %26lt;br%26gt;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. %26lt;br%26gt;Originality/value - Understanding how self-organization obtains adaptive solutions for complex problems can contribute to building more efficient systems.

• 出版日期2012