Paper Title

Vehicle tracking using Raspberry Pi using GPS receiver, cell tower location and signal strength triangulation of cell tower locations and arrival time prediction

Authors

Ashok Philip Verghese , Joby John

Keywords

vehicle tracking; raspberry pi; python; flask; GSM module

Abstract

This paper discusses vehicle tracking using raspberry pi as the vehicle component. The location of the vehicle is obtained by three different methods. One of the methods of obtaining the location is by GPS receiver. The second method is by cell tower location. The third method is by triangulation of nearby cell tower location based on the signal strength. In addition to this a method of comparing the path to be followed and the actual path and alert being sent in case of deviation from actual path is also implemented. There is also facility for estimating the time of arrival of the vehicle at a particular point based on the geodic distance and the average speed. All these facilities are very useful in any kind of vehicle tracking system like one implemented for a school bus. Also an intelligent alert message having the current location is made using text to speech converter library in python.

How To Cite

"Vehicle tracking using Raspberry Pi using GPS receiver, cell tower location and signal strength triangulation of cell tower locations and arrival time prediction ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 8, page no.295 - 308, August-2016, Available :https://ijsdr.org/papers/IJSDR1608037.pdf

Issue

Volume 1 Issue 8, August-2016

Pages : 295 - 308

Other Publication Details

Paper Reg. ID: IJSDR_160704

Published Paper Id: IJSDR1608037

Downloads: 000347273

Research Area: Engineering

Country: Kottayam, Kerala, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1608037

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1608037

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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