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@article{171013,
        author = {Dr M Sindhana Devi and A Jeyanth and M Aria Suman},
        title = {Navigational Intelligence for Accident Prevention and Real Time Road Safety},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {2116-2120},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171013},
        abstract = {The integration of Artificial Intelligence (AI) in navigation and accident prevention systems holds significant promise for enhancing road safety and improving the efficiency of transportation systems, particularly in high-risk environments. This paper presents a novel approach to accident prevention by utilizing AI techniques in conjunction with existing navigation technologies such as Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). We propose a framework that leverages real-time data from multiple sources, including IoT-connected road sensors, vehicle diagnostics, and environmental inputs, to predict and mitigate accident risks in high-speed corridors and other critical areas. The system incorporates features such as dynamic accident zone alerts, adaptive speed warnings, real-time traffic and weather updates, and integration with Advanced Driver Assistance Systems (ADAS). Additionally, we explore the use of AI in traffic flow prediction and adaptive route planning, emphasizing machine learning models and deep learning algorithms to improve the accuracy of navigation systems during GNSS outages and in areas with high accident frequencies.},
        keywords = {GNSS/INS Integration, Navigation Systems, Advanced Driver Assistance Systems (ADAS), Accident Prevention, Dynamic Route Optimization},
        month = {December},
        }