@InProceedings{oliveira05a,
  author =	 {Denise de Oliveira and Ana L. C. Bazzan and Victor
                  Lesser},
  title =	 {Using Cooperative Mediation to Coordinate Traffic
                  Lights: a Case Study},
  booktitle =	 {Proceedings of the Fourth International Joint
                  Conference on Autonomous Agents and MultiAgent
                  Systems},
  crossref =	 {aamas05},
  pages =	 {563--470},
  year =	 2005,
  abstract =	 {Several approaches tackle the problem of reducing
                  traffic jams. A class of these approaches deals with
                  coordination of traffic lights in order to allow
                  vehicles traveling in a given direction to pass an
                  arterial without stopping at junctions. In short,
                  classical approaches, which are mostly based on oine
                  and centralized determination of the prioritized
                  direction, are quite in exible since they cannot
                  cope with dynamic changes in the traffic volume. More
                  exible approaches have been proposed based on
                  implicit coordination and implicit communication
                  (e.g. derived from game theory and swarm
                  intelligence). These have advantages as well as
                  shortcomings. The present paper presents an approach
                  based on cooperative mediation which is a compromise
                  between totally autonomous coordination with
                  implicit communication and the classical centralized
                  solution. We use a distributed constraint
                  optimization algorithm in a dynamic scenario,
                  showing that the mediation is able to reduce the
                  frequency of miscoordination.},
  keywords =     {multiagent traffic negotiation},
  url = 	 {http://jmvidal.cse.sc.edu/library/oliveira05a.pdf},
  cluster = 	 {1131854894637959979}
}