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A Unique Approach for Smart Ambulance using Intelligent App Control System

Author(s):

Ravi Verma , DR.RAM MANOHAR LOHIYA AVADH UNIVERSITY,FAIZABAD-AYODHYA; Er. Piyush Rai, DR.RAM MANOHAR LOHIYA AVADH UNIVERSITY,FAIZABAD-AYODHYA

Keywords:

Machine Learning, Cloud Database, Mobile App, Automated Ambulance, GPS Tracking System, AADHAR

Abstract

Today the major issues for any highly crowded metropolitan cities or any small cities is road traffic congestion. Road traffic congestion causes traffic jams, which affects major services and ambulance service is one of them. As a solution, this paper has come up with "Intelligent app controlled GPS enabled smart ambulance". To implement the intelligent control system, it makes use of Machine Learning technology and a unique model of ambulance which adjust its shape according to traffic. The proposed system uses an android app that connects a user (patient) with the nearest ambulance and that ambulance which is fully automatic controlled by server gets the shortest path using GPS and Google maps and then reach to the patient. After picking the user/patient in case of emergency it automatically found the nearest hospital listed on Google map and alert message sent to that hospital. To make aware public about this service, the "Road safety Authority of India" will advertise. Also there will cloud management of the details to avoid misuse. The app is linked with AADHAR so that no one can misuse and also the health track will be stored on cloud. It acts as a lifesaver project as it saves the time in emergency period. Because in 90% cases the death cause is delay in either reaching the hospital or traffic congestion.

Other Details

Paper ID: IJSRDV6I120159
Published in: Volume : 6, Issue : 12
Publication Date: 01/03/2019
Page(s): 370-372

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