Paper Info
Title
Adaptive self-organization vs static optimization: A qualitative comparison in traffic light coordination.
Abstract
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.
Year
DOI
Venue
2012
10.1108/03684921211229479
KYBERNETES
Keywords
DocType
Volume
Self-organization,Adaptation,Traffic lights,Elementary cellular automata,Phase transitions
Journal
41
Issue
ISSN
Citations 
3-4
0368-492X
3
PageRank 
References 
Authors
0.59
5
2
Name
Order
Citations
PageRank
Carlos Gershenson139242.34
David A. Rosenblueth212221.97