Authors :
B. B. Waghmode; Namokar Magdum; Vardhaman Patil; Vishal Kumar
Volume/Issue :
Volume 8 - 2023, Issue 3 - March
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3MiZVX4
DOI :
https://doi.org/10.5281/zenodo.7807368
Abstract :
The recent era is marked by rapid
improvement and advances in technology. One of the
most essential areas that demand improvement is the
traffic signal, as it constitutes the core of the traffic
system. This demand becomes stringent with the
development of Smart Cities. Unfortunately, road traffic
is currently controlled by very old traffic signals
regardless of the relentless effort devoted to developing
& improving the traffic flow. These traditional traffic
signals have many problems including inefficient time
management in road intersections; they are not immune
to some environmental conditions, like rain; and they
have no means of giving priority to emergency vehicles.
In this paper, we present the architecture of our
proposed Smart Traffic Signal controller. We present
local traffic management of an intersection based on the
demands of future Smart Cities for fairness, reducing
commute time, providing reasonable traffic flow,
reducing traffic congestion. Traffic problem are
increasing day by day and it is becoming a serious
problem in the recent world [2]. Various traffic
monitoring systems have been developed. Traffic is
always a complex and challenging problem due to a
mixture of different types of vehicles as well as the large
number of vehicles on road. To improve the traffic
management, it is critical to develop a real time traffic
flow estimation system which can detect, classify and
count vehicles, detect traffic violation at any given time.
In this study, a multi-vehicle detection and tracking
approach was proposed to achieve these requirements.
The recent era is marked by rapid
improvement and advances in technology. One of the
most essential areas that demand improvement is the
traffic signal, as it constitutes the core of the traffic
system. This demand becomes stringent with the
development of Smart Cities. Unfortunately, road traffic
is currently controlled by very old traffic signals
regardless of the relentless effort devoted to developing
& improving the traffic flow. These traditional traffic
signals have many problems including inefficient time
management in road intersections; they are not immune
to some environmental conditions, like rain; and they
have no means of giving priority to emergency vehicles.
In this paper, we present the architecture of our
proposed Smart Traffic Signal controller. We present
local traffic management of an intersection based on the
demands of future Smart Cities for fairness, reducing
commute time, providing reasonable traffic flow,
reducing traffic congestion. Traffic problem are
increasing day by day and it is becoming a serious
problem in the recent world [2]. Various traffic
monitoring systems have been developed. Traffic is
always a complex and challenging problem due to a
mixture of different types of vehicles as well as the large
number of vehicles on road. To improve the traffic
management, it is critical to develop a real time traffic
flow estimation system which can detect, classify and
count vehicles, detect traffic violation at any given time.
In this study, a multi-vehicle detection and tracking
approach was proposed to achieve these requirements.