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Development of Bus Tracking System Using Radio Frequency Identification (RFID) and Artificial Intelligence (AI) Implementation

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dc.citedby0
dc.contributor.authorHing J.T.U.en_US
dc.contributor.authorLee H.J.en_US
dc.contributor.authorid59260692000en_US
dc.contributor.authorid57190622221en_US
dc.date.accessioned2025-03-03T07:46:26Z
dc.date.available2025-03-03T07:46:26Z
dc.date.issued2024
dc.description.abstractIn recent years, universities implemented shuttle bus services to facilitate campus transportation for students without personal vehicles. However, students often encounter challenges in accurately estimating bus arrival times, leading to extended wait times or missed buses. This project aims to develop a cost-effective prototype bus tracking system by implementing Radio Frequency Identification (RFID) technology. The developed system provides students with real-Time bus location updates and estimates the time of arrival (ETA) at their designated stops. ETA predictions are generated using a machine learning approach, specifically a linear regression model. The system utilizes ultra-high frequency RFID tags, a YPD-R200 RFID reader module board with reading range of up to 5 meters, and a WeMos D1 microcontroller for uploading data to the Blynk cloud platform. Users can access real-Time bus information and status updates through the Blynk IoT application. The prototype had been successfully built and tested. This research surely can improve the students' experience utilizing the bus services by enabling the students to track the bus and giving precise arrival time predictions for the bus timetables. ? 2024 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ISIEA61920.2024.10607271
dc.identifier.scopus2-s2.0-85201262113
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85201262113&doi=10.1109%2fISIEA61920.2024.10607271&partnerID=40&md5=05f2ebbbf3184dc0717712d70cce5736
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36994
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2024 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2024
dc.subjectBus transportation
dc.subjectBuses
dc.subjectDirection of arrival
dc.subjectFrequency estimation
dc.subjectLinear regression
dc.subjectRadio frequency identification (RFID)
dc.subjectRadio navigation
dc.subjectTime of arrival
dc.subjectBus services
dc.subjectBus tracking system
dc.subjectEstimated time of arrivals
dc.subjectMachine-learning
dc.subjectRadio-frequency-identification
dc.subjectReal- time
dc.subjectShuttle bus
dc.subjectTime-of- arrivals
dc.subjectTimes of arrivals
dc.subjectTracking system
dc.subjectStudents
dc.titleDevelopment of Bus Tracking System Using Radio Frequency Identification (RFID) and Artificial Intelligence (AI) Implementationen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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