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@article{193055,
        author = {Sanika R. Kuyate and Payal S. Bhalerao and Diksha R. Waghmare and Dhiraj S. Tarle and Prof. M. P. Bhandakkar},
        title = {Real-Time Public Transport Tracking For Small Citites},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3845-3849},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193055},
        abstract = {Public transportation systems in small cities often suffer from inefficiencies such as unpredictable bus arrival times, overcrowding, and improper scheduling due to the lack of real time data. To address these challenges, this project proposes a real-time public. Transport Tracking and Crowd Analysis System for small cities using IOT and web technologies. The system integrates GPS and Arduino-based hardware installed inside buses to continuously track vehicle location and monitor passenger count. Ultrasonic sensors are placed at the entry and exit doors to automatically detect passenger movement, enabling accurate real-time crowd estimation. Based on the crowd level, indicators such as LED alerts and door control mechanisms assist in managing passenger flow. The collected data is transmitted to a centralised server for processing and storage. The proposed system improves operational efficiency, minimises overcrowding, enhances passenger safety, and supports data-driven decision-making for transport authorities. It is cost effective, scalable, and well-suited for small and medium-sized cities seeking to modernise their public transportation infrastructure.},
        keywords = {public transport tracking, crowd analysis, Internet of Things, GPS tracking, ultrasonic sensors, Arduino, real-time monitoring, smart transportation, web-based system, bus scheduling.},
        month = {February},
        }