Smart Public Transport Route Tracking and Passenger Alert System Using AI and IoT  Integration | IJCT Volume 13 – Issue 2 | IJCT-V13I2P1

1.S. Kumar, et al., “IoT-Based Smart Bus Tracking System for Urban Transport,” IEEE Access (or similar IEEE venue), 2022. https://www.researchgate.net/publication/342 483633_Real_Time_Bus_Tracking_System. ResearchGate 2.M. Kumari, A. Kumar, A. Khan, “IoT-Based Intelligent Real-Time System for Bus Tracking and Monitoring,” conference/article (school- bus tracking), 2020. https://www.semanticscholar.org/paper/IoT- Based-Intelligent-Real-Time-System-for-Bus- and-Kumari- Kumar/612a86c65cc2ebabcce099380e534a19 5c162968. Semantic Scholar 3.“Bus Arrival Time Prediction Using Machine Learning Approaches” (ResearchGate preprint / study — ML for ETA prediction), 2025. https://www.researchgate.net/publication/397 281321_Bus_Arrival_Time_Prediction_Using _Machine_Learning_Approaches. ResearchGate 4.Å. Jevinger, “Artificial intelligence for improving public transport,” Public Transport journal / Springer summary (review of AI use in PT), 2024. https://link.springer.com/article/10.1007/s124 69-023-00334-7. SpringerLink 5. F. Serin, “Predicting bus travel time using machine learning methods,” ScienceDirect / Transportation Research (2022). https://www.sciencedirect.com/science/article/a bs/pii/S0263224122006364. ScienceDirect 6.Z. Ge, “Bus Schedule Time Prediction Based on LSTM-SVR Model,” Mathematics (MDPI), 2024 — LSTM + SVR hybrid methods for scheduling. https://www.mdpi.com/2227-7390/12/22/3589. MDPI+66666666666666666666666666666666 6666666666666666666666666666666666666 7.H. Liu et al., “Bus Arrival Time Prediction Based on LSTM and Spatial-temporal Feature Vector,” (LSTM spatial-temporal approach), 2020. https://scispace.com/pdf/bus-arrival-time- prediction-based-on-lstm-and-spatial- 3xn5k5a605.pdf. SciSpace 8.N.C. Petersen et al., “Multi-output bus travel time prediction with convolutional LSTM,” Expert Systems with Applications (ConvLSTM approach), 2019. https://www.sciencedirect.com/science/article/a bs/pii/S0957417418307486. ScienceDirect 9.W. Treethidtaphat et al., “Bus arrival time prediction at any distance of a bus route,” IEEE/ITSC conference paper, 2017. https://dl.acm.org/doi/10.1109/ITSC.2017.8317 891. ACM Digital Library 10.C. Lee, “A Novel Bus Arrival Time Prediction Method Based on LSTM,” Electronics (MDPI), 2022. https://www.mdpi.com/2079-9292/11/12/1875. MDPI 11.C. García-Mauriño et al., “Improving bus arrival time predictors using only public data,” Journal paper (improving estimators with public datasets), 2023/2024. https://www.tandfonline.com/doi/abs/10.1080/1 9427867.2023.2245994. Taylor & Francis Online 12.“Get a transit route” — Google Maps Routes / Transit API documentation (developer guide for transit routing & arrival info). https://developers.google.com/maps/document ation/routes/transit-route. Google for Developers 13.Google Maps Platform (reference docs) — APIs & SDKs for maps/transit integration (useful for integrating third-party routing). https://developers.google.com/maps/document ation. Google for Developers 14.Streamlit — official documentation & quickstart (used for building the UI/dashboard). https://docs.streamlit.io/ and https://streamlit.io/. Streamlit Docs+1 15.Folium (Leaflet + Python) — official documentation and library for map visualization in Python. https://python-visualization.github.io/folium/ and https://folium.readthedocs.io/. python- visualization.github.io+1 16.Twilio Documentation — Messaging & SMS API (for notification / alert integration). https://www.twilio.com/docs/messaging/api and https://www.twilio.com/docs. Twilio+1 17.“IoT-Based School Bus Transportation Safety And Tracking” — Journal / conference article on IoT + GPS for bus safety & tracking. https://journals.stmjournals.com/jorsg/article %3D2025/view%3D195005/ (example IoT bus tracking resource). STM Journals 18.“Real-Time Tracking System for City Bus Location And Passenger Counting” (survey/paper on bus tracking and passenger counting systems). https://ijarsct.co.in/Paper22155.pdf. ijarsct.co.in 19. “GPS-Based Tracking System for Government Buses” — IJSRET paper / recent implementation examples (2025). https://ijsret.com/wp- content/uploads/2025/05/IJSRET_V11_issue3_ 882.pdf. IJSRET 20.World Bank — Smart Mobility Toolkit & “Mobility and Development” reports (policy- level references on smart transport & urban mobility). https://documents1.worldbank.org/curated/en/0 99041224104510934/pdf/P1731851d8e7760ac 19cb8193fa11ed3e0d.pdf and https://openknowledge.worldbank.org/entities/p ublication/bf4bd8f0-c88d-5b70-880c- 3a501e684533. World Bank+1 21.NITI Aayog — “National Strategy for Artificial Intelligence (AI for All)” (policy framework relevant for AI adoption in public services and smart mobility in India). https://www.niti.gov.in/sites/default/files/2023- 03/National-Strategy-for-Artificial- Intelligence.pdf. NITI AAYOG 22.Moovit & Transit (industry apps / MaaS platforms) — product pages describing real- world, large-scale public transit live-tracking and user-facing apps (helpful as comparative systems). https://moovitapp.com/ (Moovit). Moovit https://transitapp.com/ (Transit).