Sayali Shinde,
Pradnya Koleshwar,
Aadesh Deshmukh,
Pranav Dawange,
Alok Dhandar,
- Assistant Professor, Department of Computer Science and Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India
- Assistant Professor, Department of Computer Science and Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India
- Student, Department of Computer Science and Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India
- Student, Department of Computer Science and Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India
- Student, Department of Computer Science and Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India
Abstract
Daily bus commuters know the frustration well, standing at stops with no idea when their ride will arrive, missing connections, and dealing with safety concerns that make public transport feel unreliable. This paper describes our prototype solution: a smart tracking system that tackles these everyday problems head-on. We built a system that connects real-time GPS data with direct passenger input, creating two-way communication between riders and transit operators. Passengers can see exactly where their bus is while simultaneously reporting issues like vehicle problems, delays, or safety incidents. The technical setup includes a web-based interface that processes continuous data from GPS units and MPU-6050 accelerometers, which automatically detect unusual vehicle movements or potential safety issues. What sets this apart is its focus on practical usability. Commuters get reliable arrival times, while transit authorities receive immediate feedback about operational problems. Our testing shows passengers wait less and feel safer when they have accurate information and can report concerns directly. The system scales well for city-wide deployment and fits naturally into existing smart city infrastructure. Beyond just tracking buses, it creates a communication bridge between passengers and operators, making public transportation more responsive to actual user needs. This work demonstrates how combining GPS technology with user feedback can address real transportation challenges. The approach offers cities a practical way to improve public transit satisfaction while building the foundation for more intelligent urban mobility systems.
Keywords: Arduino, bus tracking, GPS module, IoT in public transport, MPU- 6050, passenger safety, real-time feedback, smart transportation, tilt detection
[This article belongs to E-Commerce for Future & Trends ]
Sayali Shinde, Pradnya Koleshwar, Aadesh Deshmukh, Pranav Dawange, Alok Dhandar. RideRadar: Real-Time Bus Tracking and Updates. E-Commerce for Future & Trends. 2026; 13(01):38-46.
Sayali Shinde, Pradnya Koleshwar, Aadesh Deshmukh, Pranav Dawange, Alok Dhandar. RideRadar: Real-Time Bus Tracking and Updates. E-Commerce for Future & Trends. 2026; 13(01):38-46. Available from: https://journals.stmjournals.com/ecft/article=2026/view=242233
References
- Sridevi K, Jeevitha A, Kavitha K, Sathya K, Narmadha K. Smart bus tracking and management system using IoT. Asian J Appl Sci Technol. 2017;1(2):148–50.
- Patel D, Seth R, Mishra V, Pathari R. Real-time bus tracking system. Int J Adv Res Comput Eng Technol. 2015;4:743–746.
- Suresh M, Saranya S, Punitha A, Kowsalya R. Estimation of bus arrival by tracking and analyzing the users real time location. 2023 International Conference on System, Computation, Automation and Networking (ICSCAN), Puducherry, India. 2023. p. 1–6. doi:10.1109/ICSCAN58655.2023.10395687.
- Mustafa A, Rasheed O, Rehman S, Ullah F, Ahmed S. Sensor based smart railway accident detection and prevention system for smart cities using real time mobile communication. Wirel Pers Commun. 2023;128(2):1133–1152. doi:10.1007/s11277-022-09992-5.
- Sarraf J, Priyadarshini I, Pattnaik PK. Real time bus monitoring system. In: Satapathy SC, Mandal JK, Udgata SK, Bhateja V, editors. Information Systems Design and Intelligent Applications. New Delhi: Springer; 2016. p. 551–557. doi:10.1007/978-81-322-2755-7_57.
- Salim KA, Idrees IM. Design and implementation of web-based GPS-GPRS vehicle tracking system. Int J Sci Eng Comput Technol. 2013;3(12):443–8.
- Salunke SA, Jagtap VB, Harale AD. Vehicle tracking system for school bus by Arduino. Int Res J Eng Technol. 2017;4(03):2179–2185.
- Garg N, Gawande PV, Kurekar PP, Kharat DB. Bus tracking using GPS and real time prediction. Int Res J Eng Technol. 2017;4:3477–3479.
- Khin JM, Oo NN. Real-time vehicle tracking system using Arduino, GPS, GSM and web-based technologies. Int J Sci Eng Appl. 2018;7(11):433–6.
- Khalid SK, Salleh NS, Samsudin. A bus tracking information system using consumer grade GPS: a case study. J Telecommun Electron Comput Eng. 2016;8(4):47–51.

E-Commerce for Future & Trends
| Volume | 13 |
| Issue | 01 |
| Received | 01/01/2026 |
| Accepted | 14/02/2026 |
| Published | 01/04/2026 |
| Publication Time | 90 Days |
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