文章基本信息

标题：Self-Organizing Traffic at a Malfunctioning Intersection
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作者：Sujai Kumar ; Sugata Mitra
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2006
卷号：9
期号：4
页码：1-12
出版社：University of Surrey, Department of Sociology
摘要：Traffic signals and traffic flow models have been studied extensively in the past and have provided valuable insights on the design of signalling systems, congestion control, and punitive policies. This paper takes a slightly different tack and describes what happens at an intersection where the traffic signals are malfunctioning and stuck in some configuration. By modelling individual vehicles as agents, we were able to replicate the surprisingly organized traffic flow that we observed at a real malfunctioning intersection in urban India. Counter-intuitively, the very lawlessness that normally causes jams was causing traffic to flow smoothly at this intersection. We situate this research in the context of other research on emergent complex phenomena in traffic, and suggest further lines of research that could benefit from the analysis and modelling of rule-breaking behaviour.
关键词：Self-Organizing Systems; Complex Systems; Traffic; Emergent Behaviour; Agent-Based Modelling; Rule-Breaking