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@inproceedings{AAAI11-au,
    Author = {Tsz-Chiu Au and Neda Shahidi and Peter Stone},
    Booktitle= {Proceedings of the Twenty-Fifth Conference on Artificial Intelligence},
    Title = {Enforcing Liveness in Autonomous Traffic Management},
    Year = {2011},
    Month= {August},
    abstract = {
Looking ahead to the time when autonomous cars will be common, Dresner
and Stone proposed a multiagent systems-based intersection control
protocol called Autonomous Intersection Management (AIM). They
showed that by leveraging the capacities of autonomous vehicles it is
possible to dramatically reduce the time wasted in traffic, and
therefore also fuel consumption and air pollution.  The proposed
protocol, however, handles reservation requests one at a time and does
not prioritize reservations according to their relative priorities and
waiting times, causing potentially large inequalities in granting
reservations.  For example, at an intersection between a main street
and an alley, vehicles from the alley can take an excessively long
time to get reservations to enter the intersection, causing a waste
of time and fuel. The same is true in a network of intersections, in
which gridlock may occur and cause traffic congestion.  In this paper,
we introduce the batch processing of reservations in AIM to enforce
liveness properties in intersections and analyze the conditions under
which no vehicle will get stuck in traffic.  Our experimental results
show that our prioritizing schemes outperform previous intersection
control protocols in unbalanced traffic.
    },
}