Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A self-organizing system for urban traffic control based on predictive
  interval microscopic model   This paper introduces a self-organizing traffic signal system for an urban
road network. The key elements of this system are agents that control traffic
signals at intersections. Each agent uses an interval microscopic traffic model
to predict effects of its possible control actions in a short time horizon. The
executed control action is selected on the basis of predicted delay intervals.
Since the prediction results are represented by intervals, the agents can
recognize and suspend those control actions, whose positive effect on the
performance of traffic control is uncertain. Evaluation of the proposed traffic
control system was performed in a simulation environment. The simulation
experiments have shown that the proposed approach results in an improved
performance, particularly for non-uniform traffic streams.

7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math