EMERGENCE OF A TRAFFIC FLOW CONVENTION IN A MULTIAGENT MODEL

Francesco Zanlungo (), Takaya Arita () and Sandro Rambaldi ()
Additional contact information
Francesco Zanlungo: Department of Physics, University of Bologna, Bologna, via Irnerio 46 40126, Italy
Takaya Arita: Graduate School of Information Science, University of Nagoya, Chikusa-ku, Nagoya, Aichi, 464-8601, Japan
Sandro Rambaldi: Department of Physics, University of Bologna, Bologna, via Irnerio 46 40126, Italy

Advances in Complex Systems (ACS), 2008, vol. 11, issue 05, 789-802

Abstract: We study the emergence of self-organized traffic flow conventions in a multiagent system. A transport system is modeled as a discrete grid, on which agents governed by a neural network can move with a velocity that depends on the quantity and directions of the agents occupying the site of the grid. We show that evolution leads to traffic flow conventions that depend on the transport system geometry. We also show that if we split the agents into different "species" that move simultaneously on the transport system but that cannot exchange genetic information, their mutual influence leads to the same traffic flow convention for all the species. Finally, we develop a very simple evolutionary dynamic model (solvable both numerically and analytically) that gives an interpretation of our results.

Keywords: Evolutionary simulation; neural networks; traffic flow conventions; evolutionary game dynamics (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525908001921
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:11:y:2008:i:05:n:s0219525908001921

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525908001921

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().