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@article{184433,
        author = {Chaithra G and AMBIKA P R and ARCHANA BHAT and MANJUNATH R and Laxmi M C},
        title = {Emergency Vehicle Detection and Smart Traffic Signal Control Using AI-ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1474-1481},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184433},
        abstract = {There is growing pressure on urban mobility systems to handle emergencies while preserving traffic flow. This study introduces a smart traffic light control framework that mixes real-time traffic monitoring with emergency vehicle prioritizing. A hybrid architecture that combines sensor-based analytics and machine learning improves situational awareness and response capability. Under normal situations, the system runs autonomously, with manual override capabilities available for critical interventions. The suggested approach aims to enhance emergency response time and overall intersection performance, in line with the goals of intelligent transportation systems.},
        keywords = {Emergency vehicle detection, Image processing, siren sounds, ultrasonic Sensor, mic module},
        month = {September},
        }