000			03054nam a22003257a 4500
003			OSt
005			20250702134522.0
008			250702b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH QA 76.9 _bA44 2025
100			_aAlexander, Kurt Michael O. _eauthor
245			_aSensor-driven text-audio notifier for bus stops/ _cKurt Michael O. Alexander, Jeric S. Campo, Brenden Joshua M. Irinco, Rommel C. Laman, and Aldrin Daniel G. Mendoza.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_axii, 107pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Industrial Technology.-- _bBachelor of engineering major in computer engineering technology: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aThis study investigates the effectiveness of simplified audio alerts facilitated by transmitter-receiver sensors in aiding vehicle stop recognition. With increasing emphasis on inclusive urban transportation systems, there is a growing need to deve1op efficient and accessible methods for navigating public transit networks due to insufficient tracking of vehicle journeys beyond boarding locations, passenger inattentiveness, and driver- passenger communication difficulties, and passengers missed their destination on time. The research focuses on designing and implementing a system that utilizes UHF RFID Sensor and RFID Tags installed at vehicle stops to trigger audio alerts on approaching buses. A user-centered approach is adopted to evaluate the system’s efficacy through field tests and user feedback. Results indicate that the UHF RFID Sensor range reaches at least 100cm maximum with an optimized 90 dB for defect audio volume for destination announcements. In the battery life span, measurements have concluded that the full operation of the device can last for at least 30 hours at full charge. Evaluation summary shown that the overall result has reached an average of 4.26 which as stated as “Very Good”. The simplified audio alerts significantly improve vehicle stop recognition’s accuracy and reduce cognitive load for individuals who have difficulties identifying the location of the current vehicle stop. Not only for visually impaired individuals, which enhances the overall transit experience. This study contributes valuable insights to the ongoing efforts toward creating inclusive transportation infrastructure in urban environments. This study aligns with the DOST R & D Section 4 LIKAS Agenda with the UN-SDs 7th Goal.
650			_aAudio alerts
650			_aTransmitter-receiver sensors
650			_aBus stop recognition
700			_aCampo, Jeric S. _eauthor
700			_aIrinco, Brenden Joshua M. _eauthor
700			_aLaman, Rommel C. _eauthor
700			_aMendoza, Aldrin Daniel G. _eauthor
942			_2lcc _cBTH CIT _n0
999			_c30052 _d30052