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@article{167304,
        author = {G.K Monica and Abdul Hameed Naseer A and Feroz Khan K and Mohamed Al Shahil H  and Mohamed Athif Hussain S },
        title = {Intelligent Vehicle Accident Detection And Reporting System Utilizing GPS And GSM Technologies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {1297-1302},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167304},
        abstract = {This project introduces a novel approach to address the pressing requirement for swift emergency and communication technologies in this system highlights its ability to completely transform response to car accidents, with a primary focus on ensuring safety. The system we propose combines various sensors and communication technologies to establish an advanced accident detection and reporting system. An accelerometer sensor is utilized to detect vibrations within the car, while a direct current motor replicates the movement of the vehicle’s wheels, and a toggle switch regulates the ignition of the vehicle. GPS technology is utilized to get real-time location data for the purpose of detecting dangerous driving behaviors. When an accident occurs, the vibrator sensor activates the microcontroller, which then initiates a sequence of automated reactions. The reactions encompass actions such as stopping the car and sending an alarm message to preselected emergency contacts, such as surrounding individuals, ambulance services, hospitals, and police stations, with the precise location of the accident. Effective communication is enabled through the use of GSM technology, guaranteeing the prompt delivery of vital information. This system signifies a notable progress in road safety technology, with the ability to significantly decrease the time it takes to respond to accidents and potentially prevent loss of life. The incorporation of state-of-the-art hardware components emergency response systems in the automotive sector},
        keywords = {Accident Detection, Emergency Communication, Road Safety Technology, Real-time Location Data
},
        month = {August},
        }