Sensor-driven text-audio notifier for bus stops/ Kurt Michael O. Alexander, Jeric S. Campo, Brenden Joshua M. Irinco, Rommel C. Laman, and Aldrin Daniel G. Mendoza.--

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering major in computer engineering technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

This 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.