ระบบต้นแบบในการตรวจสอบการขึ้น-ลงโดยสารของนักเรียนโดยใช้อุปกรณ์ IoT

Suttipong Pratum; Wipawan Buathong; Pita Jarupunphol

Authors

Suttipong Pratum Program in Digital Technology, Faculty of Science and Terchnology, Phuket Rajabhat University
Wipawan Buathong Program in Digital Technology, Faculty of Science and Terchnology, Phuket Rajabhat University
Pita Jarupunphol Program in Digital Technology, Faculty of Science and Terchnology, Phuket Rajabhat University

Keywords:

school bus tracking system, student safety, real-time monitoring, transportation management, Internet of Things (IoTs)

Abstract

This research aims to develop a prototype system for monitoring student boarding to reduce the risk of losing students’ lives on school buses due to errors caused by human factors. It is designed to increase student safety during their journey to school. The system uses advanced technology, including GPS tracking, real-time data analysis, and mobile applications to solve the comprehensive problem of school bus route inspection, student boarding and alighting, and emergencies. The methodology employed in this study encompasses a detailed analysis of stakeholder requirements, system design and development, and pilot testing in a selected school district. The system's effectiveness was validated against functional and non-functional requirements, ensuring its reliability, usability, and security. The results demonstrate the system’s effectiveness in providing real-time visibility into bus locations, timely alerts to parents and school administrators, and improved communication channels for emergency response. Future work aims to expand the system's implementation across multiple schools, integrate with existing school and public transportation systems, and enhance user experience through continuous feedback and advanced analytics. The study concludes that the school bus tracking system significantly contributes to student safety and transportation management, with potential implications for broader adoption in educational institutions.

References

ไทย พีบีเอส. (31 สิงหาคม 2565). ย้อนสถิติ 9 ปี ลืมเด็กในรถ แนะ 3 ข้อต้องทำก่อนขึ้น-ลงรถ. Thai PBS. https://www.thaipbs.or.th/news/content/318945

Abulhassan, Y. A. (2021). School Bus Safety. International Encyclopedia of Transportation 2021. 564–567. https://doi.org/10.1016/B978-0-08-102671-7.10182-4

Balas, Z., Tokarz, K., Zielinski, B., and Guzniczak, T. (2023). Research on the behaviour of bluetooth low energy protocol in the heart rate monitoring application. Procedia Computer Science, 225, 63–69. https://doi.org/10.1016/j.procs.2023.09.092

Ellegood, W. A., Riley, J. M., and Berg, M. D. (2024). The many costs of operating school buses in America. Research in Transportation Economics, 103, 101401. https://doi.org/10.1016/j.retrec.2023.101401

Fávero, L. P., Belfiore, P., and de Freitas Souza, R. (2023). Chapter 9—Using application programming interfaces to collect data. In L. P. Fávero, P. Belfiore, & R. de Freitas Souza (Eds.), Data Science, Analytics and Machine Learning with R (157–167). Academic Press. https://doi.org/10.1016/B978-0-12-824271-1.00021-4

Koziolek, H. (2008). Goal, Question, Metric. In Eusgeld, I., Freiling, F. C., & Reussner, R. (Eds.), Dependability Metrics: Advanced Lectures (39–42). Springer. https://doi.org/10.1007/978-3-540-68947-8_6

Kyodo News. (29 September 2022). FOCUS: Japan to compile stricter rules on school bus safety after toddler death. Kyodo News+. https://english.kyodonews.net/news/2022/09/5bed41a53ad4-focus-japan-to-compile-stricter-rules-on-school-bus-safety-after-toddler-death.html

Li, B., & Nong, X. (2022). Automatically classifying non-functional requirements using deep neural network. Pattern Recognition, 132, 108948. https://doi.org/10.1016/j.patcog.2022.108948

Lin, M. Y.-C., Nguyen, T. T., Cheng, E. Y.-L., Le, A. N. H., and Cheng, J. M. S. (2022). Proximity marketing and Bluetooth beacon technology: A dynamic mechanism leading to relationship program receptiveness. Journal of Business Research, 141, 151–162. https://doi.org/10.1016/j.jbusres.2021.12.030

Sadiq, Mohd., and Devi, V. S. (2022). Fuzzy-soft set approach for ranking the functional requirements of software. Expert Systems with Applications, 193, 116452. https://doi.org/10.1016/j.eswa.2021.116452

Salam, S., Muley, D., and Kharbeche, M. (2022). Assessment of school bus assistant’s safety perspective in the state of Qatar. Procedia Computer Science, 201, 142–149. https://doi.org/10.1016/j.procs.2022.03.021

Solingen, B. (1999). Goal/Question/Metric Method: A Practical Guide for Quality Improvement of Software Development. Mcgraw Hill Higher Education.

Stanley, J., and Stanley, J. (2021). The school bus: An opportunity for improving rural mobility. Journal of Rural Studies, 88, 337–345. https://doi.org/10.1016/j.jrurstud.2021.08.008

‎StuTrack Parent. (2018). Apple App Store. https://apps.apple.com/ae/app/stutrack-parent/id1445865939

Tribe, T. F. (13 October 2022). Japan orders school bus operators to install emergency safety device in vehicles. Tokyo Families Magazine. https://tokyofamilies.net/2022/10/japan-orders-school-bus-operators-to-install-emergency-safety-device-in-vehicles/