International Peer-Reviewed Journal•Open Access•ISSN 2456-8880
[email protected]•+91-7433024337

Home / Current Issue / Paper 1724665

1724665 Vol 10 · Issue 5 Download Paper

Where Is My Bus? An AI-Based Smart College Bus Tracking and Arrival-Time Information System

Vaidahi Powar Samruddhi Chougule Harshada Jadhav Sanika Samdole Kajal Chandrakant Bohara

Subject area: Science,Engineering and Technology  ·  Area of research: AI, GPS, ML & Smart College Bus Tracking System

Abstract

References

[1] Meng L, Li P, Wang J, Zhou Z. Research on the prediction algorithm of the arrival time of campus bus. In: Proceedings of the International Conference on Information Technology and Intelligent Manufacturing (ITIM). Atlantis Press; 2017. p. 31–33. https://doi.org/10.2991/itim-17.2017.8

[2] Md Noor R, Rasyidi NBG, Nandy T, Kolandaisamy R. Campus shuttle bus route optimization using machine learning predictive analysis: A case study. Sustainability. 2021;13(1):225. https://doi.org/10.3390/su13010225

[3] Mokhsin @ Misron M, Mohd Jais AN, Inche Zulkifli MDA, Ibrahim SNR, Ruzauddin NF, Nafrizan AN. Bussin: A bus tracker apps using mobile application development lifecycle model. Multidisciplinary Applied Research and Innovation. 2022;3(4):57–64. https://doi.org/10.30880/mari.2022.03.04.009

[4] Jafni MIN, Mohd Zin NA. The development of UTHM bus tracking mobile application using an object-oriented approach. Applied Information Technology and Computer Science. 2023;4(2):1486–1502. https://doi.org/10.30880/aitcs.2023.04.02.084

[5] Gonzales AT, Thamadharan K, Jothi N. Efficient campus shuttle tracking and management mobile application for college campus. In: Proceedings of the International Conference on Artificial Life and Robotics (ICAROB); 2024; Oita, Japan. p. 482–486.

[6] Waskito D, Syarifah DF, Ardiansyah MI, Yassar AT, Brillian GA, Aprilianto RA, et al. Rancang bangun Campus Shuttle Tracker Universitas Negeri Semarang berbasis modul GPS smartphone. Edu Elektrika Journal. 2025;12(2):12–18.

[7] Khamis N, Li KKK. User experience evaluation for a bus tracking apps in smart campus initiative. Bulletin of Electrical Engineering and Informatics. 2021;10(4):2254–2262. https://doi.org/10.11591/eei.v10i4.3112

[8] Sridevi K, Jeevitha A, Kavitha K, Sathya K, Narmadha K. Smart bus tracking and management system using IoT. Asian Journal of Applied Science and Technology. 2017;1(2):148–150.

[9] Hing JTU, Lee HJ. Development of bus tracking system using radio frequency identification (RFID) and artificial intelligence (AI) implementation. In: Proceedings of the IEEE Symposium on Industrial Electronics & Applications (ISIEA); 2024. https://doi.org/10.1109/ISIEA61920.2024.10607271

[10] Athira Krishnan TR, Neha R, Sreehari C, Zenaani, Kishor KK, Balamurugan V. Android-based transport tracking and monitoring system. In: ICMEM 2023. AIJR Publisher; 2023.

[11] Prashanth HS, Adithya M, Achyutha UN, Aditya V, Mudambi AM. Real-time transportation tracking: A GPS enabled mobile application framework. Int J Advanced Research in Computer and Communication Engineering. 2025;14(12):133–139. https://doi.org/10.17148/IJARCCE.2025.141220

[12] Rekkawar A, Gedam A, Waghamare H. Implementation the college bus location tracking system using GPS for college student and developing Android application. International Journal of Engineering Research & Technology (IJERT). 2026;15(5):IJERTV15IS052757.

[13] Ravi Kumar S, Arun Kumar Naik R, Mansoor P, Sravani G. Smart college bus tracking using hybrid GPS and AI chatbot. In: Proceedings of the 1st International Conference on Computational and Cognitive Systems Science (ICCCSS 2025). Vol. 3. SciTePress; 2025. p. 888–894. https://doi.org/10.5220/0014908600005024

[14] Chauhan Y, et al. Vahan Samvedak: A comprehensive real-time college bus tracking and safety system. Scientific Reports. 2026;16:17770. https://doi.org/10.1038/s41598-026-48862-z

[15] Scalable tracking system for public buses using IoT technologies. In: Proceedings of the International Conference on Emerging Trends & Innovation in ICT (ICEI); 2017; Pune, India. https://doi.org/10.1109/ETIICT.2017.7977019

[16] Akter S, Islam T, Olanrewaju RF, Binyamin AA. A cloud-based bus tracking system based on internet-of-things technology. In: Proceedings of the 7th International Conference on Mechatronics Engineering (ICOM); 2019; Putrajaya, Malaysia. https://doi.org/10.1109/ICOM47790.2019.8952037

[17] Sinn M, Yoon JW, Calabrese F, Bouillet E. Predicting arrival times of buses using real-time GPS measurements. In: Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC); 2012; Anchorage, AK, USA. p. 1227–1232. https://doi.org/10.1109/ITSC.2012.6338767

[18] Jeong R, Rilett LR. Prediction model of bus arrival time for real-time applications. Transportation Research Record. 2005;1927:195–204. https://doi.org/10.3141/1927-23

[19] Yu B, Yang ZZ, Chen K, Yu B. Hybrid model for prediction of bus arrival times at next station. Journal of Advanced Transportation. 2010;44(3):193–204. https://doi.org/10.1002/atr.136

[20] Kumar BA, Jairam R, Arkatkar SS, Vanajakshi L. Real time bus travel time prediction using k-NN classifier. Transportation Letters. 2019;11(7):362–372. https://doi.org/10.1080/19427867.2017.1366120

[21] Achar A, Bharathi D, Kumar BA, Vanajakshi L. Bus arrival time prediction: A spatial Kalman filter approach. IEEE Transactions on Intelligent Transportation Systems. 2020;21(3):1298–1307. https://doi.org/10.1109/TITS.2019.2909314

[22] Kumar BA, Vanajakshi L, Subramanian SC. Bus travel time prediction using a time-space discretization approach. Transportation Research Part C: Emerging Technologies. 2017;79:308–332. https://doi.org/10.1016/j.trc.2017.04.002

[23] Liu R, Yin X, Zhou J, Ma C, Li C. A multi-scale traffic-state gated attention network for bus arrival time prediction. ICCK Transactions on Intelligent Systematics. 2026;3(3):196–208. https://doi.org/10.62762/TIS.2026.906270

[24] Tigani S. Geo-statistics and deep learning-based algorithm design for real-time bus geo-location and arrival time estimation features with load resiliency capacity. AI. 2025;6(7):142. https://doi.org/10.3390/ai6070142

[25] Li J. Bus arrival time prediction based on random forest. In: Proceedings of the 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017). Atlantis Press; 2017. p. 867–872. https://doi.org/10.2991/fmsmt-17.2017.167

[26] Yu B, Wang H, Shan W, Yao B. Prediction of bus travel time using random forests based on near neighbors. Computer-Aided Civil and Infrastructure Engineering. 2018;33(4):333–350. https://doi.org/10.1111/mice.12315

[27] Reda H, Mohapatra SK, Das TK, Dash SK. Electric bus arrival and charging station placement assessment using machine learning techniques. International Journal of Sustainable Engineering. 2024;17(1):1–17. https://doi.org/10.1080/19397038.2024.2333563

[28] Coban S, Sanchez-Anguix V, Aydogan R. Predicting shuttle arrival time in Istanbul. In: Herrera F, Matsui K, Rodríguez-González S, editors. Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol. 1003. Cham: Springer; 2020. p. 44–51. https://doi.org/10.1007/978-3-030-23887-2_6

[29] [Reference details not supplied in the manuscript (gradient boosting for stop arrival times from archived GPS data); authors to provide.]

[30] [Reference details not supplied in the manuscript (separate models for dwell and running segments); authors to provide.]

[31] Mansurova A, Mansurova A, Sakhipov A. Bus arrival time prediction via hybrid LSTM using GPS-derived run and dwell times. In: Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS). Vol. 1. SciTePress; 2025. p. 514–519. https://doi.org/10.5220/0013349200003941

How to cite this paper

Vaidahi Powar, Samruddhi Chougule, Harshada Jadhav, Sanika Samdole, Kajal Chandrakant Bohara "Where Is My Bus? An AI-Based Smart College Bus Tracking and Arrival-Time Information System" Iconic Research And Engineering Journals Volume 10 Issue 5 2026 Page 573-581
Vaidahi Powar, Samruddhi Chougule, Harshada Jadhav, Sanika Samdole, Kajal Chandrakant Bohara "Where Is My Bus? An AI-Based Smart College Bus Tracking and Arrival-Time Information System" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026
Vaidahi Powar, Samruddhi Chougule, Harshada Jadhav, Sanika Samdole, Kajal Chandrakant Bohara (2026). Where Is My Bus? An AI-Based Smart College Bus Tracking and Arrival-Time Information System. Iconic Research And Engineering Journals, 10(5).
Vaidahi Powar, Samruddhi Chougule, Harshada Jadhav, Sanika Samdole, Kajal Chandrakant Bohara "Where Is My Bus? An AI-Based Smart College Bus Tracking and Arrival-Time Information System" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026.
@article{1724665,
      author = {Vaidahi Powar, Samruddhi Chougule, Harshada Jadhav, Sanika Samdole, Kajal Chandrakant Bohara},
      title = {Where Is My Bus? An AI-Based Smart College Bus Tracking and Arrival-Time Information System},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {5},
      pages = {573-581},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724665.pdf},
      abstract = {},
      month = {November},
  }