Abstract

Managing traffic in cities is nowadays a complex problem involving considerable physical and economical resources. Multi-agent Systems (MAS) consist of a set of distributed, usually co-operating, agents that act autonomously. The traffic in a city can be simulated by a MAS with different agents, cars and traffic lights, that interact to obtain an overall goal: to reduce average waiting times for the traffic users. In this paper, we describe an agent-based simulator to model traffic in cities. Using this simulator, we present a self-organizing solution to efficiently manage urban traffic. We compare our proposal with recent approaches, providing better results than classical and alternative self-organizing methods, with lower resources and investments.

Keywords

MSC

68T05 -- Learning and adaptive systems

Cite this article

@article{cai-18168,
  author  = {Juan C. Burguillo-Rial and Pedro S. Rodríguez-Hernández and Enrique Costa-Montenegro and Felipe Gil-Castiñeira},
  title   = {History-based Self-Organizing Traffic Lights},
  journal = {Computing and Informatics},
  volume  = {28},
  number  = {2},
  pages   = {157--168},
  year    = {2009},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2009/2/history-based-self-organizing-traffic-lights/}
}
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