Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis

The pursuit of technological development requires ingenious solutions that can help diminish, if not eradicate the world's everyday problems. Ingenuity suggests using tried and tested technologies, like Wi-Fi, as tools in developing a totally different technology. By using Wi-Fi, as tools in de...

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Main Authors: Baluyot, Jay Martin B., Labergas, James Bryan B., Mundin, Jan Michael A., Radovan, Daryl R., Tiong, Jaime C., Jr.
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Language:English
Published: Animo Repository 2009
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14482
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-151242021-11-04T07:45:57Z Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis Baluyot, Jay Martin B. Labergas, James Bryan B. Mundin, Jan Michael A. Radovan, Daryl R. Tiong, Jaime C., Jr. The pursuit of technological development requires ingenious solutions that can help diminish, if not eradicate the world's everyday problems. Ingenuity suggests using tried and tested technologies, like Wi-Fi, as tools in developing a totally different technology. By using Wi-Fi, as tools in developing a totally different technology. By using Wi-Fi and other communication tools, this study tries to create a new method of locating a vehicle without the use of the GPS, a localization system that has questionable reliability in urban areas. Using multiple Wi-Fi routers set up around a subdivision to replicate a city-wide Wi-Fi, a vehicle equipped with a Wi-Fi module is localized using signal strength triangulation and fingerprinting. The ability to locate a vehicle has countless applications, though this study has limited itself to one that involves monitoring taxi vehicles. Thus, the GUI Display shows not only the real-time location of the vehicle plotted on a map but other parameters as well, such as taxi fare, speed, distance covered, vacant/occupied and other important data needed for taxi monitoring. Testing results show effective localization with satisfactory accuracy for moving vehicles, with an even better accuracy of less than 4 meters of error for a stationary vehicle. This novel technology proves the viability of localization using signal strength triangulation and fingerprinting. 2009-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14482 Bachelor's Theses English Animo Repository Telemeter Motor vehicles--Automatic location systems Motor vehicles--Automatic control Electronics in transportation
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Telemeter
Motor vehicles--Automatic location systems
Motor vehicles--Automatic control
Electronics in transportation
spellingShingle Telemeter
Motor vehicles--Automatic location systems
Motor vehicles--Automatic control
Electronics in transportation
Baluyot, Jay Martin B.
Labergas, James Bryan B.
Mundin, Jan Michael A.
Radovan, Daryl R.
Tiong, Jaime C., Jr.
Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis
description The pursuit of technological development requires ingenious solutions that can help diminish, if not eradicate the world's everyday problems. Ingenuity suggests using tried and tested technologies, like Wi-Fi, as tools in developing a totally different technology. By using Wi-Fi, as tools in developing a totally different technology. By using Wi-Fi and other communication tools, this study tries to create a new method of locating a vehicle without the use of the GPS, a localization system that has questionable reliability in urban areas. Using multiple Wi-Fi routers set up around a subdivision to replicate a city-wide Wi-Fi, a vehicle equipped with a Wi-Fi module is localized using signal strength triangulation and fingerprinting. The ability to locate a vehicle has countless applications, though this study has limited itself to one that involves monitoring taxi vehicles. Thus, the GUI Display shows not only the real-time location of the vehicle plotted on a map but other parameters as well, such as taxi fare, speed, distance covered, vacant/occupied and other important data needed for taxi monitoring. Testing results show effective localization with satisfactory accuracy for moving vehicles, with an even better accuracy of less than 4 meters of error for a stationary vehicle. This novel technology proves the viability of localization using signal strength triangulation and fingerprinting.
format text
author Baluyot, Jay Martin B.
Labergas, James Bryan B.
Mundin, Jan Michael A.
Radovan, Daryl R.
Tiong, Jaime C., Jr.
author_facet Baluyot, Jay Martin B.
Labergas, James Bryan B.
Mundin, Jan Michael A.
Radovan, Daryl R.
Tiong, Jaime C., Jr.
author_sort Baluyot, Jay Martin B.
title Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis
title_short Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis
title_full Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis
title_fullStr Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis
title_full_unstemmed Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis
title_sort tracking and telemetry system using wi-fi signal strength triangulation for company-owned taxis
publisher Animo Repository
publishDate 2009
url https://animorepository.dlsu.edu.ph/etd_bachelors/14482
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