Embedding Intelligent System on Ambulance and Traffic Monitoring

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 3, April 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD30747 | Volume – 4 | Issue – 3 | March-April 2020 Page 886
Embedding Intelligent System on
Ambulance & Traffic Monitoring
D. Devi Kalyani1, K. Syamal1, Sk. Basheeramma1, T. V. V. Ratna1, Subodh Panda2
2Professor ECE,
1,2Pragati Engineering College, Kakinada, Andhra Pradesh, India
ABSTRACT
Ambulance service is one of the crucial services that should not get delay. To
overcome this situation this paper describes a solution that “ embedding
Intelligent system on Ambulance & Traffic monitoring ” which includes
alerting and tracking mechanism with traffic light regulating such that the
ambulance can achieve a free way as fast as possible. An algorithm is used to
control the traffic signals automatically based onthekey pressedbythedriver
from keyboard in the ambulance. The information reading the current as well
as future location of ambulance is sent from the ambulance itself. This
information is used to optimally control the traffic. The performance of the
embedding intelligent systemonAmbulance&Traffic monitoringiscompared
with the Fixed Mode Traffic Light Controller. It is observed that the proposed
model is more efficient than the conventional controller in respect of less
waiting time, more distance traveled by average vehicles and efficient
operation during emergency mode and GSMinterface.Moreover,thedesigned
system has simple architecture,fastresponsetime,userfriendlinessandscope
for further expansion.
KEYWORDS: Intelligent Ambulance, microcontroller, Traffic Control, Embedded
system, Traffic intelligent, Health monitoring system, light management
How to cite this paper: D. Devi Kalyani |
K. Syamal | Sk. Basheeramma | T. V. V.
Ratna | Subodh Panda "Embedding
Intelligent SystemonAmbulance&Traffic
Monitoring"
Published in
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-4 |
Issue-3, April 2020, pp.890-893, URL:
www.ijtsrd.com/papers/ijtsrd30747.pdf
Copyright © 2020 by author(s) and
International Journal ofTrendinScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
INTRODUCTION
Present fixed system based Traffic Light Controllers are
designed with microcontroller and microprocessor. These
have limitations because it uses the pre-defined hardware,
which is functioning according to the program that does not
have the flexibility of modification on real time basis. The
monitoring and control of city traffic is becoming a major
problem in many countries. . As the number of road users
constantly increases, and resources provided by current
infrastructures are limited, intelligent control of traffic will
become a very important in future. The problem of traffic
light control can be solved by RFID based system. With this
system, we can consider the priority of different type of
vehicles and also consider the density of traffic on the roads
by installing RF reader on the road intersections. Radio
frequency identification is a technique that uses the radio
waves to identify the object uniquely. RFID is a technique
that is widely used in the various application areas like
medical science, commerce, security, Electronic toll
collection system, access control etc. For traffic controlling
purpose RF communication is used. Traffic density is also
considered while designing the algorithm to control the
traffic lights. Embedding of health Monitoring system and
traffic controlling system may lead to save one precious life.
The various performance evaluation criteria are average
waiting time, average distance traveled by vehicles,
switching frequency of green light at a junction, efficient
emergency mode operation and satisfactory operation of
SMS using GSM Mobile.
Related Work
In this paper taking e.g. of emergency vehiclesasambulance.
In this paper, the first aim is to collect the information of
moving emergency vehicles using GSM, GPS, ARMtoprovide
them clear path. This system can do the following, i)
Minimize long waiting time, ii) Achieve smart automatic
traffic signal control without humaninterrupt,iii)Wirelessly
monitor patients health parameterthroughGSMtechnology,
iv) Less chance of accident due to red light violation it gives
priority to vehicles like ambulance,Firebrigade,VIPvehicles
etc. On signal there will be two RFID readers which will
detect traffic density on two roads. When ambulance is
detected on any road signal for that side will be green. And
traffic on that road and other roads will be sent to
ambulance through another GSM. ARM is a 32-bit reduced
instruction set computer (RISC) instruction set architecture
(ISA) developed by ARM Limited. It was known as the
Advanced RISC Machine, and before that as the Acorn RISC
Machine. This has made them dominant in the mobile and
embedded electronics market as relatively low cost and
small microprocessors and microcontrollers.. In this project
there would be two RFID systems used in the project. The
RFID tag would be used to detect the ambulance. The RFID
IJTSRD30747

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
systems will be connected to microcontroller using serial
protocol. The Tag will be attached to the ambulance when
the ambulance passes through the reader the Tag would be
read and the traffic Light will be made Green Signal. We are
using GPS to track the position of ambulance, emergency
vehicles so it will help us to direct the ambulance to reach
the hospital as early as possible and also reach the vehicle to
their destination.
Fig.1. Block diagram of proposed model
Fig2. Associated microcontroller Arduino Uno. on this model
Arduino Uno is a microcontroller board based on the ATmega328P (datasheet). It has 14 digital input/output pins , 6 analog
inputs
Fig3. ZigBee structure
ZigBee is primarily used for two-way communication between a sensor and a control system. It offers connectivity up to 100
meters
Fig4. Application modeling of of zigBee

When a vehicle on a side road arrives at the intersection, a Zigbee will detect it and cycle the lights to allow traffic on the side
road to pass through proposed framework is capable of providing its customizable best route identification basedonmultiple
possible optimization factors such as travel time, fuel cost, and distance. The dynamic time management scheme operates in
real time and emulates the judgment made by a traffic policeman on duty. This system aims at saving a large amount of man-
hours caused by traffic problems and accidents, where prevention can save lives and property. It is able to manage priority
emergency tag vehicles. It offers a valuable detailed database records and preference to planner and investigators
Fig 5. Intelligent monitoring system on traffic control
Fig.6 complete hardware structure embedded with intelligent system
The proposed work considers not only the priority of the
vehicles but also the density of the vehicles on the road and
controls the traffic light sequence efficiently and more
accurately and the accuracy of the RFID is more than
Camera’s so it also improves the performance of traffic light
Violation Detection Systematization location of the
ambulance to control the traffic lights. This will help in
optimization of the time taken by theambulanceto reachthe
hospital. Also, the monitoring of the patient will help the
doctors to give him the necessary treatment for the time
being. A network between consecutive signal posts may be
established to control high intensity traffic. A possible
rerouting feature can be added based on traffic density, by
establishing a dialogue between the ambulance and the
signal post. In this paper, a system is described which will
continuously monitor the patient’s health parameters and
simultaneously will control the traffic signal. If the doctors
do not have sufficient medical history of the patient, they
may not be able to give proper treatment to the patient. This
system tries to prevent just that. In health monitoring
system, the patient’s vital health parameters such as ECG,
Heart Rate and Body Temperature are monitored. This
information is sent to the hospital for analysis.
Conclusion
Many traffic control systems propose an autonomous
solution which does not consider the future path of the
ambulance. In this paper, the traffic control algorithm
considers the current & destination location of the
ambulance to control the traffic lights. This will help in
optimization of the time taken by theambulanceto reachthe
hospital. Also, the monitoring of the patient will help the
doctors to give him the necessary treatment for the time
being. Considering the real time scenario this system can be
improved by adding an actual GPS navigation system along
with a congestion detecting module for an optimized traffic
control algorithm. The congestion detection part may be
done using image processing or computervisiontechniques.
A network between consecutive signal posts may be
established to control a high intensity traffic. A possible re-
routing feature can be added based on traffic density, by
establishing a dialogue between the ambulance and the
signal post.

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