Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis
Date of Publication
2009
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Noriel C. Mallari
Defense Panel Chair
Cesar A. Llorente
Defense Panel Member
Roberto T. Caguingin
Aaron Don M. Africa
Abstract/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.
Abstract Format
html
Language
English
Format
Accession Number
TU15003
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
248 leaves : col. ill.; 28 cm.
Keywords
Telemeter; Motor vehicles--Automatic location systems; Motor vehicles--Automatic control; Electronics in transportation
Recommended Citation
Baluyot, J. B., Labergas, J. B., Mundin, J. A., Radovan, D. R., & Tiong, J. C. (2009). Tracking and telemetry system using Wi-Fi signal strength triangulation for company-owned taxis. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14482
