A standard form of citation of this article is:
Kumar, Sujai and Mitra, Sugata (2006). 'Self-Organizing Traffic at a Malfunctioning Intersection'. Journal of Artificial Societies and Social Simulation 9(4)3 <https://www.jasss.org/9/4/3.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{kumar2006,
title = {Self-Organizing Traffic at a Malfunctioning Intersection},
author = {Kumar, Sujai and Mitra, Sugata},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {4},
pages = {3},
year = {2006},
URL = {https://www.jasss.org/9/4/3.html},
keywords = {Self-Organizing Systems, Complex Systems, Traffic, Emergent Behaviour, Agent-Based Modelling, Rule-Breaking},
abstract = {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.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Self-Organizing Traffic at a Malfunctioning Intersection
AU - Kumar, Sujai
AU - Mitra, Sugata
Y1 - 2006/10/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 4
SP - 3
UR - https://www.jasss.org/9/4/3.html
KW - Self-Organizing Systems
KW - Complex Systems
KW - Traffic
KW - Emergent Behaviour
KW - Agent-Based Modelling
KW - Rule-Breaking
N2 - 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.
ER -