Development of real-time train tracking information system/ Janielle Ann Denise L. Aquino, Cenon Victor Q. Oblefias, Marvin Joy E. Pili, Philip Lorenzo B. Velasco, and Samuel R. Versola .--

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Aquino, Janielle Ann Denise L [author ]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2024.Description: xii, 100pages: 29cm. +1 CD-ROM (4 3/4in.)Content type:

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BTH TK 5105.59 A68 2024

Dissertation note: College of Industrial Education .-- Bachelor of Engineering Technology major in Electronics Communication Technology: Technological University of the Philippines, 2024. Summary: This study presents the development and evaluation of a comprehensive train monitoring system aimed at enhancing passenger experience on the Light Rail Transit Authority (LRTA). Leveraging Orange Pi technology, the system facilitates real-time train tracking and passenger data collection, with a primary emphasis on predicting arrival times for LRT 2 trains. Testing was conducted at three crucial stations: Betty Go Belmonte, Gilmore, and J. Ruiz, demonstrating the system's high accuracy in predicting arrival times, with minimal errors observed. Performance analysis involved several tests. In the initial test at 12:40 PM, the actual arrival time was 12:42 PM, with a device latency of 850 ms and a percent error of 66.67%. Subsequent tests revealed varying latencies and errors, illustrating the system's reliability under different conditions. Key components, such as the Orange Pi, GSM Sim900A Module, A9G GPS/GSM Module, and UHF RFID reader, were meticulously integrated into the Real-Time Train Tracking Information systems. These systems underwent comprehensive evaluations across various criteria, resulting in an overall rating of 4.1, indicating a descriptive rating of "Very Good." Furthermore, a detailed performance analysis, complemented by visual aids, provided additional validation of the system's effectiveness in predicting train arrival times. This research underscores the transformative potential of cutting-edge technology in revolutionizing public transportation systems, ultimately benefiting commuters and ensuring efficient travel.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis CIT	TUP Manila Library	Thesis Section-2nd floor	BTH TK 5105.59 A68 2024 (Browse shelf(Opens below))	c.1.	Not for loan	For library use only		BTH0004750

Thesis (undergraduate)

College of Industrial Education .-- Bachelor of Engineering Technology major in Electronics Communication Technology: Technological University of the Philippines, 2024.

Includes bibliography:

This study presents the development and evaluation of a comprehensive train monitoring
system aimed at enhancing passenger experience on the Light Rail Transit Authority
(LRTA). Leveraging Orange Pi technology, the system facilitates real-time train tracking
and passenger data collection, with a primary emphasis on predicting arrival times for LRT
2 trains. Testing was conducted at three crucial stations: Betty Go Belmonte, Gilmore, and
J. Ruiz, demonstrating the system's high accuracy in predicting arrival times, with minimal
errors observed. Performance analysis involved several tests. In the initial test at 12:40 PM,
the actual arrival time was 12:42 PM, with a device latency of 850 ms and a percent error
of 66.67%. Subsequent tests revealed varying latencies and errors, illustrating the system's
reliability under different conditions. Key components, such as the Orange Pi, GSM
Sim900A Module, A9G GPS/GSM Module, and UHF RFID reader, were meticulously
integrated into the Real-Time Train Tracking Information systems. These systems
underwent comprehensive evaluations across various criteria, resulting in an overall rating
of 4.1, indicating a descriptive rating of "Very Good." Furthermore, a detailed performance
analysis, complemented by visual aids, provided additional validation of the system's
effectiveness in predicting train arrival times. This research underscores the transformative
potential of cutting-edge technology in revolutionizing public transportation systems,
ultimately benefiting commuters and ensuring efficient travel.

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