DEVELOPMENT OF A PROTOTYPE INTELLIGENT STUDENT SHUTTLE SYSTEM TO INCREASE THE SAFETY STANDARD OF STUDENTS WITH RFID TECHNOLOGY ON THE NOTIFICATION SYSTEM VIA MOBILE APPLICATION
DOI:
https://doi.org/10.60101/gbafr.2025.283109Keywords:
Alert system, RFID, Firebase cloud messaging, ArduinoAbstract
Purpose – This research sought to create a prototype of an intelligent school bus system designed to enhance student safety by integrating radio-frequency identification (RFID) technology with a mobile application notification system. The system is capable of real-time monitoring of student boarding and disembarking, immediately dispatching alerts to parents and teachers through mobile devices. This mitigates the danger of students forgetting items or experiencing accidents while traveling.
Methodology – The research sample comprised 400 primary school pupils, their parents, and accompanying teachers from schools in Bangkok and the surrounding area. Data was gathered via questionnaires and a trial of the prototype system in real-world scenarios over a duration of six weeks. The sample comprised 300 parents of children and 100 onboard instructors and school staff. Results were evaluated by descriptive statistics and t-test hypothesis testing.
Results – The research findings indicated that the system recorded RFID usage data with an accuracy of 98.5%, while notifications through the mobile application remained consistent at 96.7%, 94.2% of parents reported satisfaction with the system and exhibited a statistically significant enhancement in confidence regarding student safety (p < 0.001). The system garnered favorable reviews on its user-friendliness and has the potential for expansion to facilitate systematic implementation at the school level.
Implications – This study markedly enhanced the student's proficiency in RFID technology, specifically regarding a notification feature within a mobile application. The prototype may assist educational institutions in developing preventive strategies. The certificate issued to parents and teachers signifies policy endorsement for Smart Education and Smart City initiatives, which may be expanded to encompass a broader smart transportation framework. Researchers advocate for collaboration among schools, parents, and communities to enhance youth health engagement and foster trust.
Originality/Value – This research is significant due of its originality. A prototype is developed that combines RFID technology with a mobile application alerting system to improve student safety. The design is intuitive and adaptable to the requirements of parents, educators, and school officials. It concretely embodies the principles of Smart Education and Intelligent Transportation, generating both intellectual and practical value. It additionally functions as a prototype for forthcoming safety advancements.
References
Ahsan, K., Shah, H., & Kingston, P. (2010). RFID applications: An introductory and exploratory study. International Journal of Computer Science Issues, 7(1), 1–7. https://doi.org/10.48550/arXiv.1002.1179
Akpınar, S., & Kaptan, H. (2010). Computer aided school administration system using RFID technology. Procedia-Social and Behavioral Sciences, 2(2), 4392-4397. https://doi.org/10.1016/j.sbspro.2010.03.699
Ally, M.A., & Gardiner, M. (2012). The moderating influence of device characteristics and usage on user acceptance of Smart Mobile Devices. ACIS.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
Ayuthaya, V. I. N. (2024). Factors influencing efficiency of cross-border transport management system using rfid sensor technology in cross-border transport management system, nong khai border checkpoint. Revista de Gestão Social e Ambiental, 18(2), e04797. https://doi.org/10.24857/rgsa.v18n2-052
Borg, W. R., & Gall, M. D. (1989). Educational research: An introduction (5th ed.). Longman.
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41, 745–783. https://doi.org/10.1007/s10490-023-09871-y
Department of Children and Youth Affairs. (2021). Report on the Prevention of Child Neglect and Support for Group Childcare. Ministry of Child Development Social and the Best.
Fazio, X. (2022). Schools and communities: Interdisciplinary learning and the ecological crises of the Anthropocene. Alysha J. Farrell, Candy Skyhar, Michelle Lam (Eds.), 16-27. Palgrave Macmillan Cham.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
Hair, J. F., Gabriel, M., & Patel, V. (2014). AMOS covariance-based structural equation modeling (CB-SEM): Guidelines on its application as a marketing research tool. Brazilian Journal of Marketing, 13(2), 44-55. https://doi.org/10.5585/remark.v13i2.2718
Hassan, S., & De Filippi, P. (2021). Decentralized Autonomous Organization. Internet Policy Review, 10(2). https://doi.org/10.14763/2021.2.1556
Liu, J., Chen, S., Chen, M., Xiao, Q., & Chen, L. (2020). Pose sensing with a single RFID tag. IEEE/ACM Transactions on Networking, 28(5), 2023-2036. https://doi.org/10.1109/TNET.2020.3007830
Nikita, Sadawarti, H., Kaur, B., & Singla, J. (2020). A systematic and structured review of intelligent systems for diagnosis of renal cancer. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications, 105-121. https://doi.org/10.1002/9781119670087.ch6
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill, Inc.
Office of the Basic Education Commission. (2022). Report on the situation of student transport services for the 2022 academic year. Ministry of Education.
Ramírez, J. A., Donado, A., Navarro, E., Pérez, A., Roa, J., Barros, C., & Durán, S. (2025, June). Development of a mobile application based on the internet of things (ioT) for the creation of closed security circuits in small localities. In International Conference on Human-Computer Interaction (pp. 130-140). Springer Nature Switzerland.
Roberts, C. M. (2006). Radio frequency identification (RFID). Computers & security, 25(1), 18-26. https://doi.org/10.1016/j.cose.2005.12.003
Saleem, K., Alabduljabbar, G. M., Alrowais, N., Al-Muhtadi, J., Imran, M., & Rodrigues, J. J. (2020). Bio-inspired network security for 5G-enabled IoT applications. IEEE Access, 8, 229152-229160. https://doi.org/10.1109/ACCESS.2020.3046325
Sathyanarayana, S. S., & Mohanasundaram, T. (2024). Fit indices in structural equation modeling and confirmatory factor analysis: Reporting guidelines. Asian Journal of Economics, Business and Accounting, 24(7), 561–577. https://doi.org/10.9734/ajeba/2024/v24i71430
Shaaban, K., Bekkali, A., Hamida, E. B., & Kadri, A. (2013). Smart tracking system for school buses using passive RFID technology to enhance child safety. Journal of Traffic and Logistics Engineering, 1(2), 191-196. https://doi.org/10.12720/jtle.1.2.191-196
Shah, S., & Singh, B. (2016, April). RFID based school bus tracking and security system. In 2016 International Conference on Communication and Signal Processing (ICCSP) (pp. 1481-1485). IEEE. https://doi.org/10.1109/ICCSP.2016.7754404
Venkatesulu, B. P., Chandrasekar, V. T., Girdhar, P., Advani, P., Sharma, A., Elumalai, T., Hsieh, C. E., Elghazawy, H. I., Verma, V., & Krishnan, S. (2021). A systematic review and meta-analysis of cancer patients affected by a novel coronavirus. JNCI cancer spectrum, 5(2), pkaa102. https://doi.org/10.1093/jncics/pkaa102
Wang, W., Jia, Q., Mukerjee, S., & Chen, S. (2019). Recent insights into the oxygen-reduction electrocatalysis of Fe/N/C materials. Acs Catalysis, 9(11), 10126-10141. https://doi.org/10.1021/acscatal.9b02583
Want, R. (2006). An introduction to RFID technology. IEEE Pervasive Computing, 5(1), 25–33. https://doi.org/10.1109/MPRV.2006.2
Zhou, Y., Zhang, Y., Lian, X., Li, F., Wang, C., Zhu, F., Qiu, Y., & Chen, Y. (2022). Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents. Nucleic acids research, 50(D1), D1398–D1407. https://doi.org/10.1093/nar/gkab953
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