The increasing reliance on real-time data has underscored the need for intelligent and scalable systems to improve transportation efficiency, particularly in closed environments such as university campuses. Traditional approaches, including printed schedules and static route information, often lead to uncertainty, overcrowding, and inefficient bus utilization. To address these limitations, this study presents the development of My Bus Tracker (MBT), a mobile-based application designed to enhance campus transit services. The system integrates Global Positioning System (GPS) tracking, route visualization, Google Maps API, and Firebase services to deliver live bus locations, estimated arrival times, and push notifications. Role-based access allows administrators to manage routes and bus data, while users benefit from a cross-platform interface developed with Flutter. Implemented using Agile methodology, the system was refined through iterative design, testing, and feedback. Evaluation results indicate that MBT improves user satisfaction, enhances bus utilization, and increases overall transportation efficiency within the campus environment. By emphasizing automation, usability, and real-time updates, MBT offers a practical and cost-effective solution for modernizing campus transportation. Its primary contribution lies in delivering a functional prototype that can be further enhanced with predictive arrival features and integration with broader public transport networks, thereby supporting the advancement of scalable smart mobility platforms.
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Muhammad Tahir
Kurk Wei Yi
Syahida Mohtar
International Journal of Research and Innovation in Social Science
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Tahir et al. (Wed,) studied this question.
www.synapsesocial.com/papers/68d9052141e1c178a14f505e — DOI: https://doi.org/10.47772/ijriss.2025.90900003
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