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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1868
SMART AMBULANCE WITH TRAFFIC CONTROL ABILITY
Saujanya Mukkawar, Suraj Rathod, Shivshankar Gawai, Mayuri Magar
Department of Computer Engineering,
Marathwada Mitra Mandal’s Institute of Technology Lohgaon, Pune.
Savitribai Phule Pune University, India.
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract -Road traffic has become the major challenge in
current urban cities, which made inconvenient for an
ambulance if it is carrying an emergency patient. The
ambulance must wait for clearing the traffic, which may
take several minutes to hours sometimes. Due to this
ambulance reaches the hospital with many delays, and
there may be a condition that patient undergoes
hazardous problems or may die. The embedded
technology has been used to avoid such road traffic
congestion by controlling the road traffic signal which
automatically turns the red signal to green whenever the
ambulance reaches near to traffic light control. The system
also monitors the patient health present in the ambulance
and maintains two-way communication with the
concerned doctor in the hospital. It also opens the hospital
gate automatically whenever the ambulance reaches the
hospital.
Keywords: Road traffic, IoT, Ambulance, heartbeat
sensors
1. INTRODUCTION
The traffic jam in metropolitan cities has becomes a
serious issue. Many people die in an accident due to the
time delay in traffic. In such a scenario, concepts of smart
traffic systems and the smart health system can be
developed. Combining the above two, the smart navigation
system for ambulances is being tried.
In India rapid growth of population coupled with a high
rate of industrialization has resulted in an unmanageable
increase in traffic volume, especially in metropolitan cities
and urban areas. Due to increase in traffic density, several
lives are lost due to delay in receiving medical care. So, we
designed a system which prioritizes emergency vehicles
like ambulances and provides them with a congestion-free
path to reach its destination as soon as possible.
This can help in taking preventive measures at the very
initial stage and attempts to cure the illness before getting
to a serious stage.
1: Methodology
This paper proposes system into two parts -Hardware &
Software. The hardware unit is further divided into two
subunits - Transmitter & Receiver. The Transmitter unit is
consisting of nod-MCU and Arduino UNO it consists of
different health sensors like the heartbeat, temperature
Sensors which are wearable that are placed on the
patient’s body [1]. Sensors sense the patient body
parameters. The sensed data is sent to the cloud and that
data is accessed by concern hospital so that the hospital
can prepare for the treatment of the patient. In the block
diagram, there are sensors, nod-MCU, Internet and Cloud.
When the ambulance reaches to the accidental place
driver will retrieve the basic information like name, age,
blood group, etc. If available and this information will
send over the cloud. This information is accessed by the
hospital through the web app and it will maintain
information of patient like name, age, disease, previous
medical history if available [2]. As soon as the patient sits
in the ambulance it must reach the hospital in minimum
time, so we are proposing a system which will make
ambulance reach the hospital in minimum shortest path
using google maps API and that ambulance is assembled
with nod-MCU that will transmit the Wi-Fi signal
continuously [3]. And that signal is sensed by other nod-
MCU installed on the signal platform so that it can turn
into the green signal as soon as the ambulance reaches to
that point and other signals turn into the red until
ambulance passes through the signal [4].
2. RELATED WORK
2.1 Problem Statement: To design/build an ambulance
system with patient health monitoring system and traffic
analysis approach and to develop a system which will
monitor continuous medical condition of an individual on
a device like smartphone and further transmit this info to
IOT server which is user accessible over internet, so the
person will get an appropriate therapy accordingly.
2.2 Existing System
In the existing system, we don’t have an automatic traffic
control system for the ambulance. GPS technology is also
used to help hospitals to get the best services. Smart
watches are expensive and not ideal for healthcare.
2.3 Proposed System:
As there is traffic congestion in various cities and it
directly affects to the ambulance and the patient. If
ambulance stuck in traffic then there may be chance of
losing the life of patient to tackle these problem we are
going to develop a system that will automatically give path
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1869
to the ambulance by using the Arduino and nod-MCU
whenever there any situation to transport of patient to
the hospital the system will take patients data such as
body temperature, pulse rate and send it to the nearest
hospital and along with this all signals which are on the
way to the hospital turn into green to give way to
ambulance.
3. SYSTEM DESIGN
Fig3 .1: Block Diagram
Advantages:
 Sending patient’s health information to the
hospitals helps the hospital staff to get things
ready required for the treatment.
 Control the traffic light based on the direction.
 Information about the private hospital’s
ambulance provided helps in getting the
appropriate hospital which is suitable for the
patient’s treatment.
 It’s beneficial for the users in case of emergencies
as it saves time which gets consumed in searching
for the ambulance by other means.
Applications:
➢ Defense vehicles in emergency cases.
➢ Fire extinguishing vehicles
➢ Police vans in emergency cases
4. CONCLUSION
This proposed system helps to save the life of patient by
making ways for the ambulance if their traffic at the traffic
signal board.
It also monitors the patient’s health regularly and informs
respective doctor so that he can make arrangement for
further treatment at an earlier time.
ACKNOWLEDGEMENT (Optional)
It gives us great pleasure in presenting the review paper
on ‘Smart Ambulance with Traffic Control Ability’.
We would like to take this opportunity to thank my
internal guide Prof. Sukhesh A. Kothari for giving me all
the help and guidance we needed. We are grateful to them
for their kind support. Their valuable suggestions were
very helpful.
We are also grateful to Prof. S.G. Rathod Head of
Computer Engineering Department, MMIT, Lohgaon for
his indispensable support, suggestions.
In the end our special thanks to Prof. Sonali Muley for
providing various resources such as laboratory with all
needed software platforms, continuous Internet
connection for Our Research Paper.
REFERENCES
[1]. Smart Ambulance System using IoT 2017 International
Conference on Big Data, IoT and Data Science (IEEE).
[2]. Comprehensive Traffic Management System Real-time
traffic data analysis using RFID International Conference
on Electronics, Communication and Aerospace Technology
ICECA (IEEE) 2017.
[3]. Robotic Automated External Defibrillator Ambulance
for Emergency Medical Service in Smart Cities 2016(IEEE).
[4]. Sukanya Ray, Amnesh Goel, Nidhi Chandra, “Intelligent
Traffic Light System to Prioritized, Emergency purpose
vehicles based on Wireless Sensor Networks”,
International Journal of Computer Applications, vol-40,
Feb 2012.
[5]. Vasuki Shankar, Ruthvik Gautham, Vedaprakash
Varma, “Automated Traffic Signal for Hassle Free
Movement of Ambulance” , IEEE Conference Paper, 2015.
[6]. Rajeshwari S, Santhosh s Hebbar, Varaprasad Golla
“Implementing intelligent traffic control system for
congestion control, Ambulance clearance and stolen
vehicle detection”, IEEE Sensors Journal, JSEN.2014.
[7]. A.D.Jadhav, Bhor Madhuri, Thakre Ketan, “Intelligent
Traffic Light Control System” proceedings of 4th IRF
International Conference, 16th March 2014.
[8]. K.Sangeetha, P.Archana, M.Ramya, P.Ramya.,
"Automatic ambulance rescue with intelligent traffic light
system", IOSR journal of engineering (IOSRJEN), vol.4,
Issue 2, February 2014.

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Smart ambulance controls traffic signals

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1868 SMART AMBULANCE WITH TRAFFIC CONTROL ABILITY Saujanya Mukkawar, Suraj Rathod, Shivshankar Gawai, Mayuri Magar Department of Computer Engineering, Marathwada Mitra Mandal’s Institute of Technology Lohgaon, Pune. Savitribai Phule Pune University, India. ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract -Road traffic has become the major challenge in current urban cities, which made inconvenient for an ambulance if it is carrying an emergency patient. The ambulance must wait for clearing the traffic, which may take several minutes to hours sometimes. Due to this ambulance reaches the hospital with many delays, and there may be a condition that patient undergoes hazardous problems or may die. The embedded technology has been used to avoid such road traffic congestion by controlling the road traffic signal which automatically turns the red signal to green whenever the ambulance reaches near to traffic light control. The system also monitors the patient health present in the ambulance and maintains two-way communication with the concerned doctor in the hospital. It also opens the hospital gate automatically whenever the ambulance reaches the hospital. Keywords: Road traffic, IoT, Ambulance, heartbeat sensors 1. INTRODUCTION The traffic jam in metropolitan cities has becomes a serious issue. Many people die in an accident due to the time delay in traffic. In such a scenario, concepts of smart traffic systems and the smart health system can be developed. Combining the above two, the smart navigation system for ambulances is being tried. In India rapid growth of population coupled with a high rate of industrialization has resulted in an unmanageable increase in traffic volume, especially in metropolitan cities and urban areas. Due to increase in traffic density, several lives are lost due to delay in receiving medical care. So, we designed a system which prioritizes emergency vehicles like ambulances and provides them with a congestion-free path to reach its destination as soon as possible. This can help in taking preventive measures at the very initial stage and attempts to cure the illness before getting to a serious stage. 1: Methodology This paper proposes system into two parts -Hardware & Software. The hardware unit is further divided into two subunits - Transmitter & Receiver. The Transmitter unit is consisting of nod-MCU and Arduino UNO it consists of different health sensors like the heartbeat, temperature Sensors which are wearable that are placed on the patient’s body [1]. Sensors sense the patient body parameters. The sensed data is sent to the cloud and that data is accessed by concern hospital so that the hospital can prepare for the treatment of the patient. In the block diagram, there are sensors, nod-MCU, Internet and Cloud. When the ambulance reaches to the accidental place driver will retrieve the basic information like name, age, blood group, etc. If available and this information will send over the cloud. This information is accessed by the hospital through the web app and it will maintain information of patient like name, age, disease, previous medical history if available [2]. As soon as the patient sits in the ambulance it must reach the hospital in minimum time, so we are proposing a system which will make ambulance reach the hospital in minimum shortest path using google maps API and that ambulance is assembled with nod-MCU that will transmit the Wi-Fi signal continuously [3]. And that signal is sensed by other nod- MCU installed on the signal platform so that it can turn into the green signal as soon as the ambulance reaches to that point and other signals turn into the red until ambulance passes through the signal [4]. 2. RELATED WORK 2.1 Problem Statement: To design/build an ambulance system with patient health monitoring system and traffic analysis approach and to develop a system which will monitor continuous medical condition of an individual on a device like smartphone and further transmit this info to IOT server which is user accessible over internet, so the person will get an appropriate therapy accordingly. 2.2 Existing System In the existing system, we don’t have an automatic traffic control system for the ambulance. GPS technology is also used to help hospitals to get the best services. Smart watches are expensive and not ideal for healthcare. 2.3 Proposed System: As there is traffic congestion in various cities and it directly affects to the ambulance and the patient. If ambulance stuck in traffic then there may be chance of losing the life of patient to tackle these problem we are going to develop a system that will automatically give path
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1869 to the ambulance by using the Arduino and nod-MCU whenever there any situation to transport of patient to the hospital the system will take patients data such as body temperature, pulse rate and send it to the nearest hospital and along with this all signals which are on the way to the hospital turn into green to give way to ambulance. 3. SYSTEM DESIGN Fig3 .1: Block Diagram Advantages:  Sending patient’s health information to the hospitals helps the hospital staff to get things ready required for the treatment.  Control the traffic light based on the direction.  Information about the private hospital’s ambulance provided helps in getting the appropriate hospital which is suitable for the patient’s treatment.  It’s beneficial for the users in case of emergencies as it saves time which gets consumed in searching for the ambulance by other means. Applications: ➢ Defense vehicles in emergency cases. ➢ Fire extinguishing vehicles ➢ Police vans in emergency cases 4. CONCLUSION This proposed system helps to save the life of patient by making ways for the ambulance if their traffic at the traffic signal board. It also monitors the patient’s health regularly and informs respective doctor so that he can make arrangement for further treatment at an earlier time. ACKNOWLEDGEMENT (Optional) It gives us great pleasure in presenting the review paper on ‘Smart Ambulance with Traffic Control Ability’. We would like to take this opportunity to thank my internal guide Prof. Sukhesh A. Kothari for giving me all the help and guidance we needed. We are grateful to them for their kind support. Their valuable suggestions were very helpful. We are also grateful to Prof. S.G. Rathod Head of Computer Engineering Department, MMIT, Lohgaon for his indispensable support, suggestions. In the end our special thanks to Prof. Sonali Muley for providing various resources such as laboratory with all needed software platforms, continuous Internet connection for Our Research Paper. REFERENCES [1]. Smart Ambulance System using IoT 2017 International Conference on Big Data, IoT and Data Science (IEEE). [2]. Comprehensive Traffic Management System Real-time traffic data analysis using RFID International Conference on Electronics, Communication and Aerospace Technology ICECA (IEEE) 2017. [3]. Robotic Automated External Defibrillator Ambulance for Emergency Medical Service in Smart Cities 2016(IEEE). [4]. Sukanya Ray, Amnesh Goel, Nidhi Chandra, “Intelligent Traffic Light System to Prioritized, Emergency purpose vehicles based on Wireless Sensor Networks”, International Journal of Computer Applications, vol-40, Feb 2012. [5]. Vasuki Shankar, Ruthvik Gautham, Vedaprakash Varma, “Automated Traffic Signal for Hassle Free Movement of Ambulance” , IEEE Conference Paper, 2015. [6]. Rajeshwari S, Santhosh s Hebbar, Varaprasad Golla “Implementing intelligent traffic control system for congestion control, Ambulance clearance and stolen vehicle detection”, IEEE Sensors Journal, JSEN.2014. [7]. A.D.Jadhav, Bhor Madhuri, Thakre Ketan, “Intelligent Traffic Light Control System” proceedings of 4th IRF International Conference, 16th March 2014. [8]. K.Sangeetha, P.Archana, M.Ramya, P.Ramya., "Automatic ambulance rescue with intelligent traffic light system", IOSR journal of engineering (IOSRJEN), vol.4, Issue 2, February 2014.