000			02906nam a22003137a 4500
003			OSt
005			20241205144618.0
008			241205b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 5105.59 _bA68 2024
100			_aAquino, Janielle Ann Denise L. _eauthor
245			_aDevelopment of real-time train tracking information system/ _cJanielle Ann Denise L. Aquino, Cenon Victor Q. Oblefias, Marvin Joy E. Pili, Philip Lorenzo B. Velasco, and Samuel R. Versola .--
260			_aManila: _bTechnological University of the Philippines, _c2024.
300			_axii, 100pages: _c29cm. _e+1 CD-ROM (4 3/4in.)
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aThesis (undergraduate)
502			_aCollege of Industrial Education .-- _bBachelor of Engineering Technology major in Electronics Communication Technology: _cTechnological University of the Philippines, _d2024.
504			_aIncludes bibliography:
520			_aThis 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.
650			_aTrain and railway monitoring
650			_aPublic transportation
700			_aOblefias, Cenon Victor Q. _eauthor
700			_aPili, Marvin Joy E. _eauthor
700			_aVelasco, Phillip Lorenzo B. _eauthor
700			_aVersola, Samuel R. _eauthor
942			_2lcc _cBTH CIT _n0
999			_c29154 _d29154