Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploiting Near Time Forecasting From Social Network To Decongest
  Traffic   Preventing traffic congestion by forecasting near time traffic flows is an
important problem as it leads to effective use of transport resources. Social
network provides information about activities of humans and social events.
Thus, with the help of social network, we can extract which humans will attend
a particular event (in near time) and can estimate flow of traffic based on it.
This opens up a wide area of research which poses need to have a framework for
traffic management that can capture essential parameters of real-life behaviour
and provide a way to iterate upon and evaluate new ideas. In this paper, we
present building blocks of a framework and a system to simulate a city with its
transport system, humans and their social network. We emphasize on relevant
parameters selected and modular design of the framework. Our framework defines
metrics to evaluate congestion avoidance strategies. To show utility of the
framework, we present experimental studies of few strategies on a public
transport system.

17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph