Road Transport System with Ambulance Centric Intelligence

Authors(2) :-Ananthakumar Sethuramanujam, Deebhaghavel P. S.

When ambulance is stuck in traffic, it leads to the wastage of precious time that could have been used to save the patient’s life, otherwise. Given the technological advancements and the power of a microcontroller, we can contribute to the life of patients by automatically turning the traffic signal Green in favor of ambulance and thus the time that ambulance would have wasted if such technology has not existed, could be saved and we can reap the benefits of such technology by giving doctors more time to work on patients. The sole goal of the project is to help save the lives of people by completely eliminating the problem of ambulance having to stuck in traffic. We use Haversine formula to determine the traffic signal which was targeted by the ambulance driver. We input the GPS coordinates of the ambulance to the server which in turn takes out the nearest signal coordinates from the database and turns it green.

Authors and Affiliations

Ananthakumar Sethuramanujam
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India
Deebhaghavel P. S.
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

Global Positioning System, Haversine, Intelligent Traffic System.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 402-405
Manuscript Number : CSEIT1722126
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Ananthakumar Sethuramanujam, Deebhaghavel P. S., "Road Transport System with Ambulance Centric Intelligence ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.402-405, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722126

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