IDL - International Digital Library Of Education & Research Volume 1, Issue 6,June- 2017
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"Design and Implementation of Smart congestion control system" 1.
Ms.Nandini M. 2 .Dr.Pushpamala Siddaraju 1 PG Scholar, 2 .Assistant professor. Department of Electronics and Communication Dayananda Sagar University, Bangalore, Karnataka, India email :nandini1234m@gmail.com,email:pushpa.mala-ece@dsu.edu.in
ABSTRACT
emergency vehicle detection system. In case an emergency vehicle is detected, the lane is
The frequent traffic jams at major junctions call for an efficient traffic management
given priority over all the others. Hardware control is done by microcontroller.
system in place. The resulting wastage of
I.
time and increase in pollution levels can be eliminated on a city-wide scale by these systems. The project proposes to implement an intelligent traffic controller using real time
image
processing.
The
image
sequences from a camera are analyzed using thresholding method to find the density. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently
managed.
proposes
to
The
implement
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project also a
real-time
INTRODUCTION
Current traffic control techniques involving magnetic loop detectors buried in the road, infra-red and radar sensors on the side provide limited traffic and require separate systems for traffic counting and for traffic surveillance. Inductive loop detectors do provide a costeffective solution, however they are subject to a high failure rate when installed in poor road surfaces, decrease pavement life and obstruct traffic during maintenance and 1|P a g e
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IDL - International Digital Library Of Education & Research Volume 1, Issue 6,June- 2017
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International e -Journal For Education And Research-2017
repair. Infrared sensors are affected to a greater degree by fog than video cameras and
cannot
be
used
for
effective
surveillance. In contrast, video-based systems offer many advantages
compared
to
traditional
techniques. They provide more traffic information, combine both surveillance
and
traffic
control technologies, are easily installed, and are scalable with progress in image processing techniques. This project tries to evaluate the process and advantages of the use of image processing Figure: Embedded system is the
for traffic control.
combination of both software and hardware Implementation of our project will eliminate the need of traffic personnel at various
Software deals with the languages like ALP, C, and VB etc., and Hardware deals with
junctions for regulating traffic.
Processors, Peripherals, and Memory. Thus the use of this technology is valuable for
the
analysis
and
performance
improvement of road traffic.
Memory: It is used to store data or address. Peripherals: These are the external devices connected
II.
BLOCK DIAGRAM
Processor: It is an IC which is used to perform some task
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IDL - International Digital Library Of Education & Research Volume 1, Issue 6,June- 2017
Available at: www.dbpublications.org
International e -Journal For Education And Research-2017
Office systems and mobile equipment
Embedded System
Banking, finance and commercial
Medical diagnostics, monitoring and life support
Software
Hardware
Testing, monitoring and diagnostic systems
o
ALP
o
Processor
o
C
o
Peripherals
o
VB
o
memory
IV.
Basic Principle
Etc.,
A transformer makes use of Faraday's law and the ferromagnetic properties of an iron core to efficiently raise or lower AC voltages. It of course cannot increase power so that if the voltage is raised, the current is proportionally lowered and vice versa. Figure: Block diagram of Embedded System
III.
Applications of embedded systems
Manufacturing and process control
Construction industry
Transport
Buildings and premises
Domestic service
Communications
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IDL - International Digital Library Of Education & Research Volume 1, Issue 6,June- 2017
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International e -Journal For Education And Research-2017
failures and to short term variations in conditions on the paths. The main issues are what we discussed in §6: how to split sequence numbers across paths (i.e. whether to use one sequence space for all subflows or one per subflow with an extra connectionlevel sequence number), how to do flow control (subflow, connection level or both), how to ack, and so forth. Our protocol design in §6 has drawn on this literature. Figure: Basic Principle
However, the main focus of this paper is congestion control not protocol design. In
Advantages:
most existing proposals, the problem of shared bottlenecks (§2.1) is considered but
Reliability, Ease of Operation
the other issues in §2 are not. Let us
As we can improve transportation
highlight
security by implementing it.
characteristics of these proposals. pTCP
No need of human supervision
[12], CMT over SCTP[14] and M/TCP [23]
People abiding rules can be caught.
use uncoupled congestion control on each
Spontaneous output.
path, and are not fair to competing single-
V.
RELATED WORK
the
congestion
control
path traffic in the general case. mTCP [27]
There has been a good deal of work on
also performs uncoupled congestion control
building multipath transport protocols [13,
on each path. In an attempt to detect shared
27, 18, 12, 14, 6, 23, 7]. Most of this work
congestion at bottlenecks it computes the
focuses on the protocol mechanisms needed
correlation between fast retransmit intervals
to implement multipath transmission, with
on different subflows. It is not clear how
key goals being robustness to long term path
robust this detector is. R-MTP [18] targets
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RESULTS
wireless links: it probes the bandwidth available periodically for each subflow and adjusts the rates accordingly. To detect congestion it uses packet interarrival times and jitter, and infers mounting congestion when it observes increased jitter. This only works
when
wireless
links
are
the
bottleneck. VI.
SCOPE OF THE PROJECT
The study showed that image processing is a better technique to control the state change of the traffic light. It shows that it can reduce the traffic congestion and avoids the time being wasted by a green light on an empty road. It is also more consistent in detecting vehicle presence because it uses actual traffic images. It visualizes the reality so it functions much better than those systems that rely on the detection of the vehicles’ metal content. Overall, the system is good but it still needs improvement to achieve a hundred percent accuracy APPLICATIONS: Main roads, Highways,Signal crossings., Tollgates.
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since it selects efficient paths and balances congestion
CONCLUSION We have demonstrated a working multipath
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