Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Context Aware Dynamic Traffic Signal Optimization   Conventional urban traffic control systems have been based on historical
traffic data. Later advancements made use of detectors, which enabled the
gathering of real time traffic data, in order to reorganize and calibrate
traffic signalization programs. Further evolvement provided the ability to
forecast traffic conditions, in order to develop traffic signalization programs
and strategies precomputed and applied at the most appropriate time frame for
the optimal control of the current traffic conditions. We, propose the next
generation of traffic control systems based on principles of Artificial
Intelligence and Context Awareness. Most of the existing algorithms use average
waiting time or length of the queue to assess an algorithms performance.
However, a low average waiting time may come at the cost of delaying other
vehicles indefinitely. In our algorithm, besides the vehicle queue, we use
fairness also as an important performance metric to assess an algorithms
performance.

17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph