GREEN LIGHT TRAFFIC SOLUTION FOR AMBULANCE SERVICE

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Abstract— - Traffic overcrowding and tidal flow management were identified as major problems in modern urban areas, which have caused much uncomfortable for the ambulance. The emergency condition, each and every seconds are very important to saving a patient’s life. The major concept of this project is use to every seconds are efficiently to save a person. The traffic congestion is a main problem that caused delay to ambulance. This leads to waste of time and also sometime causes dead. To overcome this situation, we have proposed an IOT based traffic light signal control for ambulance called Green light traffic solution which helps the ambulance to reach the hospital utmost fast and also save the patient life. The main theme behind this scheme is to guide and controls the ambulance till it reaches spot to hospital. We use android application forth use random ambulance driver to locate and contact nearest through location detection. We use Google Map API to detect the distance of vehicle to the particular signal. Here the controls of traffic lights on the way is done using that application in secured manner. We specially include density based traffic control which will be helpful in insufficiency of police.

IndexTerms: GPS module, ambulance, Android Application, Density control, Google Map.

I. INTRODUCTION

The rapid development of IOT technology makes it possible for connecting various objects such as sensors connecting through the internet and providing more data interoperability methods for application purpose. The Internet of Things (IOT) is computing devices within the existing Internet infrastructure. Emergency service should be provided correctly at the needed time. He/she should be taken to the hospital as earlier as possible and treatment as to carry out fast to save his life. This project is mainly based on communication. Green Light Traffic Solution for an

Manuscript received May, 2020.

S GOKUL PRASATH, Information Technology, Dr. NGP Institute of Technology,

(e-mail:[email protected]).,Tirupur,India,8220388705

R KALINGARAJ, Information Technology, Dr. NGP Institute of Technology,Tirupur,India,9965602493.,(e-mail:[email protected]).

R SURYA, Information Technology,, Dr. NGP Institute of Technology, Dharmapuri, India, 8754812858., (e-mail:[email protected]).

Ambulance Service is new and great experience in the world of hospital. This helps the user to find the nearby ambulance based on the location using this application. It helps the user to book the ambulance or call the ambulance to the location in case of emergency to save patient life. The rapid development of IOT technology makes it possible for connecting various objects such as sensors connecting through the internet and providing more data interoperability methods for application purpose. The Internet of Things (IOT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. Emergency service should be provided correctly at the needed time. He/she should be taken to the hospital as earlier as possible and treatment as to carry out fast to save his life. This project is mainly based on communication between ambulance and various devices such as mobile phones and traffic signals so that the possibility for saving the life of the needy person will get increased. The cayenne is a user defined application which is used to connect the sensors by Arduino and anyone can access the data with the user id provided. Improving efficiency in healthcare sector is one of the difficult and most challenging jobs. Transportation of a patient in actual it is quite difficult and gets more difficult during peak hours. Emergency situation includes disasters like fire, medical emergencies, accidents, earthquake, floods or any other natural calamity. G3 system was a combination of GPS, GIS, and GPRS (which is based on GSM technology). This system helps the common people in day today life there are many accidents, cardiac arrest, etc. This is an effective system to use it.

II LITERATURE SURVEY

The system has been used RFID tags for ambulance detection, the problem with such system is that the ambulance has to be close to the RFID Frequency detectors. Only if the sound frequency reaches at the signal it will open, so, it is not being stabilized hence it may not reach the signal due to traffic sounds. Detecting Ambulance trough the camera of signals is not a best case, that is ambulance drivers can misuse the possibilities like unwanted usage of siren to pass the signal may result in critical. Density less way can’t be the best route. Hence shortest path is made as density less. Ambulances at specific locations are only requested to go till now. So it analyzes the nearest and estimated time of ambulance to reach the location automatically. Traffic police can’t find which side has high traffic.

GREEN LIGHT TRAFFIC SOLUTION FOR

AMBULANCE SERVICE

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III EXISTING SYSTEM

The system has been used RFID tags for ambulance detection, the problem with such system is that the ambulance has to be close to the RFID Frequency detectors. Only if the sound frequency reaches at the signal it will open, so, it is not being stabilized hence it may not reach the signal due to trafficsounds.

Ambulances at specific locations are only requested to go till now, so it is not easier. So it intimates the service maintainer of nearest and estimated time of ambulance to reach the location automatically. Detecting ambulance in the signal using camera in that places. If the ambulance with siren is seen through artificial intelligence, then the signal opens.

IV DRAWBACKS OF EXISTING SYSTEM

Siren sound signal open can cause an illegal issue. Siren sound will not reach the traffic light in case of traffic noise in far distance. Possibility of stuck of ambulance in mid of traffic vehicles is high. Detecting Ambulance trough the camera of signals is not a best case, that is ambulance drivers can misuse the possibilities like unwanted usage of siren to pass the signal may result in critical. Finding of caller Location is difficult. Lack of awareness among people on first aid to patient is very less.

V PROPOSED SYSTEM

In this project it provides the signal access of the path to the work allocated driver using android application based on location. The ambulances on opposite direction in same signal is given priority based on minimum distance from ambulance to signal. In this project it also provides density based traffic light control in the signals when to officials to operate. Here it also uses a webpage to know how many ambulance users have signed in particular area and is also used to detect how much time will it take for each ambulance to reach the location. This will be useful for allocating the work to ambulance.

It also depicts which algorithm produces better accuracy in predicting dengue fever either Support vector Machine or Radial Basis Function Neural Network.

VI SYSTEM OVERVIEW

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To find the ambulance which can immediately reach the accident site as compared to other ambulances is analyzed. Ambulance driver has a unique login using the application and user has a booking and availability and also can check status of the vehicle. If more than one accident occurred detect the nearest ambulance by using distance through google map and prioritize the queue using webpage.

Fig 1.1

Traffic lights are embedded through the google maps like hospitals, hotels, petrol bunk etc. It will be easy to connect only the traffic lights in the way. So that it creates security.

Signals are connected through cloud data with the GSM of signals and Global Positioning System satellites are used to locate position of a vehicle accurately.

Automatic shortest way is generated with time and traffic density suggestion to reach destination of nearest hospital.

If ambulance comes in both sides of signal, then the distance is calculated between ambulance and the signals of all and prioritize the queue based on the nearest one.

Here it also adds extra feature to the signal, in case of insufficiency of police in the place then the signals automatically control the traffic through density based control.

METHODOLOGY

MODULE 1

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MODULE 2

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It is a process that focuses on prioritization.

Fig 2.2

MODULE 3

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Circuit diagram of Density based traffic control

Fig 2.3 VI I MODULE DESCRIPTION

A.USER REGISTRATION

A front-end application, in which the users can interact directly. The front end tools which are used to design the user interface of the application. The app will get the location access when installed

Fig 3.1 User Registration

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1.1) LOGIN

In this module, the user has to login with the username and the password. For a new user, register screen will be displayed with the user name and Phone number. Whenever a user enters his user name and password, it checks in the database for user existence. The login page will restrict the unauthorized users. If the user is existing, he can be treated as a valid user.

1.2) REGISTER

Before feeding your labeled data to an In this module, registration form will be displayed for the new user with the name, password and phone number and moreover password and phone number fields are validated. Once the registration has been completed the details are stored in the database. The registration phase is mainly provided for user authentication.

1.3)SPEED CONTROL

In this application it will detect the speed of vehicle continuously. If it exits the minimal speed, then it will intimate the caretaker of the him/her through SMS.

B. AMBULANCE REGISTRATION

A front-end application, in which the users can interact directly. The front end tools which are used to design the user interface of the application. The app will get the location access when installed.

Ambulance Registration

2.1) LOGIN

In this module, the user has to login with the username and the password. For a new user, register screen will be displayed with the user name and Phone number. Whenever a user enters his user name and password, it checks in the database for user existence.

2.2) REGISTER

This is a database consists of ambulance registration. The driver need to enter the common details as driver name, ambulance code, ambulance number, contact number, username, password, address, etc. The user name and password is mandatory to enter.

2.3) VIEW REQUEST

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C.REQUEST AMBULANCE

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It displays the details of the driver in the stored database. In that it will calculate the latitude and longitude distance of the ambulance. Which intimates the nearby places from the current location of the user.

Fig 3.3 Request Ambulance

D.USER AUTHENTICATION

In this application login is the individual user can access to authenticate and to identify themselves. The user qualification is typically some form of “User name” and a matching “Password”, and these qualification is to refer as login.

Fig 3.4 User and Ambulance User/Ambulance Login

E. AMBULANCE LOCATOR

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Ambulance locator detects the nearest ambulance of the accident place with distance and estimated time that reaches the place through Google map API through the location detection of GPS in ambulance and user system through Webpage. Hence it will be easier for the ambulance allocator to contact the ambulance and assign work.

Fig 3.5 Ambulance Locator

F. LOCATE DRIVER

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In this application it locates the driver location and direction of the ambulance. It also displays the user name, phone number, driver’s location details, etc. By choosing it shows some other option like locate driver, emergency alert, and request ambulance etc.

Fig 3.6 locate driver

G. SPEED CONTROL

In this application it will detect the speed of vehicle continuously. If it exits the minimal speed, then it will intimate the caretaker of the him/her through SMS.

Locate Driver

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H. SIGNAL CONTROL

Signal control is done through the application. The work allocated driver can access the signal in his path and change it green. It will last only for particular seconds hence the traffic over that area can be reduced.

Fig 3.8 Signal Control Traffic KIT

7.1) SIGNAL IN WAY

Signals in the way of the ambulance is detected through the Google map API. It is done like a hotel, petrol bunks and their distance shown in the maps. Likewise, Signals of the path are also detected with Latitude and Longitude and access through the GSM based control through cloud service.

Signals in Path using Google map

Hence it is secure, because the driver can only access the signals in which path that is allotted for him.It is also secured because it can only be accessed by the work allocated Ambulances.

VIII IMPLEMENTATION AND RESULT

TRAFFIC LIGHT DEVICE

A Traffic light device which is made of embedded C with relays and lights are used as signal process in this project. This can show the toggling of the lights by the control of the android application remotely.

DISTANCE PRIORITY

It is distance calculation module which supports the device to prioritize the queue of multiple emergency vehicle from every sides. This is done using a detection of distance from the vehicle to particular signal through Google Map API.

DENSITY BASED SIGNAL CONTROL

A Density based signal control is a separate module which connects every signals through a network. It plays a major role in

every signals to take care of the control of the traffic. It reduces the Man power and also a smart way of control.

RESULT

Software application in general is to implementing the complete lifecycle of the project. Various life cycle processes such as requirement analysis, design phase, verification phase, testing and finally implementation phase takes place. The software application which is basically a windows based application has been successfully implemented after passing various life cycle processes.

IX CONCLUSION

In olden days calling and booking the ambulance is risky. Now a day it is very easy to book and to track the ambulance by its location. This project proposes self-way providing and controlling traffic signals in a destination path with usage of mobile application of the driver and to increase efficient way of service. 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 the ambulance to reach the hospital. In the additional module of Density based control decreases the man power and provides efficient way of services. Hence it leads the Police forces to involve in some other actions

FUTURE ENHANCEMENT

In future it can also include every emergency services. It can also intimate the Hospitals on the patient condition to prepares further process. As this is life for people, Government can support on free Usage of service in any difficulties. By this Green Light Traffic Solution for Ambulance Service the life is saved, it will have enhanced by using automated approach for fast and accurate performance.

X REFERENCES

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COMMUNICATION”, COMMUNICATIONS

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Copyright to IJIRSET visit: www.ijirset.com

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GOKULPRASATH.S pursuing B. Tech Information

technology in Dr NGP Institute of Technology under Anna University. participated in codiecon competition.

KALINGARAJ.Rpursuing B. Tech Information technology

in Dr NGP Institute of Technology under Anna University. participated in codiecon competition.

SURYA.R pursuing B. Tech Information technology in Dr

NGP Institute of Technology under Anna University. participated in codiecon competition.