@InProceedings{dresner04a,
  author =	 {Kurt Dresner and Peter Stone},
  title =	 {Multiagent Traffic Management: A Reservation-Based
                  Intersection Control Mechanism},
  booktitle =	 {Proceedings of the Third International Joint
                  Conference on Autonomous Agents and MultiAgent
                  Systems},
  pages =	 {530--537},
  year =	 2004,
  publisher =	 {{ACM}},
  abstract =	 {Traffic congestion is one of the leading causes of
                  lost productivity and decreased standard of living
                  in urban settings. Recent advances in artificial
                  intelligence suggest vehicle navigation by
                  autonomous agents will be possible in the near
                  future. In this paper, we propose a reservationbased
                  system for alleviating traffic congestion,
                  specifically at intersections, and under the
                  assumption that the cars are controlled by
                  agents. First, we describe a custom simulator that
                  we have created to measure the different delays
                  associated with conducting traffic through an
                  intersection. Second, we specify a precise metric
                  for evaluating the quality of traffic control at an
                  intersection. Using this simulator and this metric,
                  we show that our reservation-based system can
                  perform two to three hundred times better than traf-
                  fic lights. As a result, it can smoothly handle much
                  heavier traffic conditions. We show that our system
                  very closely approximates an overpass, which is the
                  optimal solution for the problem with which we are
                  dealing.},
  keywords =     {multiagent traffic application},
  url =		 {http://jmvidal.cse.sc.edu/library/dresner04a.pdf},
  googleid = 	 {ojkbqSHvlpkJ:scholar.google.com/},
  cluster = 	 {11067296062159665570}
}