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...

Full description

Saved in:
Bibliographic Details
Main Authors: Baluyot, Jay Martin B., Labergas, James Bryan B., Mundin, Jan Michael A., Radovan, Daryl R., Tiong, Jaime C., Jr.
Format: text
Language:English
Published: Animo Repository 2009
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14482
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
Description
Summary: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.