A Vision Based Approach for Optimal Real TimeRoad Traffic Control Application

Abstract:
A non-linear increase in the vehicle density is
causing severe pollution problems and accidents
in metropolitan cities. At the same time, there
are no proportional enhancements in transport
infrastructure, due to space and cost constraints,
leading to road traffic congestion raising a main
concern for pollution. This paper proposes a vision
based approach using vehicle density measurement
method which a closed loop imposing statistical
control strategy for optimal traffic controls.
Keywords : road traffic congestion, vehicle density
measurement method, closed loop, statistical control,
real time traffic control, optimal traffic control
I. Introduction
Road traffic congestion is a recurring problem
worldwide. Non-optimal traffic controls, nonfavorable
road conditions and undisciplined traffic
are the major contributing factors for such traffic
congestions. Road traffic congestion results in long
waiting time, wastage of fuel, increased air pollution
and carbon dioxide emissions, stressed and frustrated
motorists, road accidents etc. Therefore it is necessary
to have a fast efficient road traffic control system.
Intelligent traffic management will help to avoid the
road traffic congestion issues to a certain extent [1].
To solve the problem of road traffic congestion at
traffic signal, government has to find new methods to
monitor and control the traffic. One way to solve the
problem of traffic congestion is to give an efficient,
real time control strategy that will control the traffic
based on vehicle flow measurement/ density for
the smooth flow of traffic. The paper proposes a
vision based approach for road traffic control. The
main emphasis is given to maintain the equal traffic
density in all the directions of traffic signal and avoid
the traffic congestion. By using image processing
the vehicle flow is measured and the traffic signal is
controlled in real time.