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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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 |
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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 |
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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. |
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Baluyot, Jay Martin B. Labergas, James Bryan B. Mundin, Jan Michael A. Radovan, Daryl R. Tiong, Jaime C., Jr. |
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Baluyot, Jay Martin B. Labergas, James Bryan B. Mundin, Jan Michael A. Radovan, Daryl R. Tiong, Jaime C., Jr. |
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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 |
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Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis |
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tracking and telemetry system using wi-fi signal strength triangulation for company-owned taxis |
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Animo Repository |
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2009 |
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https://animorepository.dlsu.edu.ph/etd_bachelors/14482 |
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