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@article{185226,
        author = {Shubhang Lalsinge and Bhushan Kurkure and Vennela Kurapati and Ayush Kurkure and Rashi Lahoti and Ganesh Langhi and Vivek S. Nagnath},
        title = {SMARTWAY-AUTOMATED SLIDING BRIDGE SYSTEM FOR RAILWAY PLATFORMS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {665-675},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185226},
        abstract = {Railway transportations in India carries 8.5 billion passengers annually, yet platform accessibility remains a critical safety challenge. Current infrastructure inadequately serves elderly and disabled passengers, as conventional foot-over bridges require significant physical exertion and time, leading to dangerous track crossings. This paper presents Smartway, automated sliding bridge system designed to provide safe, accessible platform connectivity without manual intervention. The system employs dual infrared sensors (HW-201) interfaced with Arduino Uno R3 for train detection, coupled with an L298N motor driver controlling bridge deployment. Experimental validation demonstrates rapid 1.8-second bridge activation time, 99.2% detection accuracy under clear conditions, and 2.63-hour battery backup through integrated solar power management. Performance analysis reveals 87% improvement in accessibility time compared to conventional foot-over bridges and 94% reduction in track crossing incidents during testing. The system operates autonomously: upon train approach, the first sensor triggers bridge retraction with audible alerts, while the second sensor enables safe reopening post-departure.},
        keywords = {Smart bridge, solar energy, IR sensor, automated system},
        month = {October},
        }