Smart Bus App – A Comprehensive Bus Management & Feedback System for Academic Institutions | IJCSE Volume 9 – Issue 6 | IJCSE-V9I6P6

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International Journal of Computer Science Engineering Techniques
ISSN: 2455-135X
Volume 9, Issue 6  |  Published: November – December 2025
Author
Yogesh K R , Ms.Anu V B

Abstract

Public transportation plays a crucial role in providing mobility, especially in academic institutions. However, challenges such as inefficient communication, lack of issue reporting mechanisms, and absence of integrated feedback systems limit service quality. This paper proposes a Smart Bus App designed as a mobile- first solution to address these gaps. The app provides students with real-time bus routes and timings, allows issue reporting with student details and location, enables bus pass generation, and offers a feedback system accessible to administrators.Unlike existing systems that emphasize IoT sensors or GPS-based tracking, our approach simplifies implementation by using map integration for location reference without requiring costly real-time tracking infrastructure. This paper discusses related works, highlights the research gap, and presents a comprehensive solution for improving communication and service quality in institutional transport systems.

Keywords

Smart Bus, Feedback System, Bus Management, Student Bus Pass, Mobile Application, Institutional Transport.

Conclusion

This paper presented the design,implementation, and preliminary evaluation of the Smart Bus App, a mobile-first solution aimed at modernizing bus management in academic institutions. By consolidating route information, issue reporting, feedback collection, and digital pass generation into a single application, the system addresses critical gaps in existing institutional transport systems. Its pragmatic design, which avoids costly real- time tracking in favor of contextual map integration, makes it a highly feasible and deployable solution.Future work will focus on enhancing the system’s capabilities. Planned improvements include: Integrating lightweight real-time bus location tracking using cost-effective methods. Implementing predictive analytics for bus arrival times based on historical data. Developing an advanced admin dashboard with data visualization tools to analyze feedback and report trends. Expanding the platform to include push notifications for service alerts and schedule changes. These enhancements will further solidify the app’s role as a comprehensive tool for intelligent transport management.

References

R. Kumar et al., “Smart Bus System for Specially Challenged Individuals,”ResearchGate,2022. [2]A. Akin et al., “Design and Implementation of Web- based Smart Campus Bus Transport Management System,” ResearchGate, 2023. [3]P. Singh et al., “IoT Based Smart Bus System using Wireless Sensor Networks,” ResearchGate, 2021. [4]T.Tesma, “Smart College Bus Transport System: A Review,” International Journal of Engineering Applied Science and Technology (IJEAST), Vol. 6, Issue 2, 2021. [5]A. Khoshmagham et al., “Assessing Passenger Feedback Reliability in Crowd-Sourced Transit Systems,” ResearchGate, 2017.

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