Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Reinforcement Learning with Partial Vehicle Detection for
  Intelligent Traffic Signal Control   Intelligent Transportation Systems (ITS) have attracted the attention of
researchers and the general public alike as a means to alleviate traffic
congestion. Recently, the maturity of wireless technology has enabled a
cost-efficient way to achieve ITS by detecting vehicles using Vehicle to
Infrastructure (V2I) communications. Traditional ITS algorithms, in most cases,
assume that every vehicle is observed, such as by a camera or a loop detector,
but a V2I implementation would detect only those vehicles with wireless
communications capability. We examine a family of transportation systems, which
we will refer to as `Partially Detected Intelligent Transportation Systems'. An
algorithm that can act well under a small detection rate is highly desirable
due to gradual penetration rates of the underlying wireless technologies such
as Dedicated Short Range Communications (DSRC) technology. Artificial
Intelligence (AI) techniques for Reinforcement Learning (RL) are suitable tools
for finding such an algorithm due to utilizing varied inputs and not requiring
explicit analytic understanding or modeling of the underlying system dynamics.
In this paper, we report a RL algorithm for partially observable ITS based on
DSRC. The performance of this system is studied under different car flows,
detection rates, and topologies of the road network. Our system is able to
efficiently reduce the average waiting time of vehicles at an intersection,
even with a low detection rate.

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The categories of this paper are: gr-qc
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The categories of this paper are: stat
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-ex
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The categories of this paper are: math-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: atom-ph