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@article{186860,
        author = {Mr. Prathamesh Aher and Miss. Siddhi kale and Mr. Akshay chobe and Miss. Akanksha kanse and Prof. B.B.Mirkhale and Dr. Rohan R Kubde},
        title = {Telematic Solution For Smart Vehicle},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2316-2322},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186860},
        abstract = {Modern vehicle telematics systems combine onboard electronics with cloud services to enhance safety, tracking, and maintenance. This paper presents a comprehensive telematics architecture built around an STM32 microcontroller, integrating GPS, 4G LTE communication, a MEMS accelerometer/gyroscope, a CAN-bus interface, and robust power management, all feeding into a cloud dashboard. The design enables real- time vehicle tracking, accident detection, driver behavior analysis, and predictive maintenance. A prototype block diagram and workflow illustrate data flow from sensors to cloud.
The system leverages MEMS sensors to detect crashes and triggers alerts via 4G, sending GPS coordinates and vehicle status to emergency responder. CAN-bus connectivity allows reading engine and vehicle data for maintenance alerts. Results from similar implementations show that such systems significantly improve fleet safety and operational efficiency. In conclusion, the proposed design enhances safety and is scalable for both individual drivers and fleet management, with future work pointing toward machine learning-based analytics and broader connectivity},
        keywords = {STM32 Microcontroller, Accident Detection, Driver Behavior Monitoring, Predictive Maintenance, GPS Tracking, IoT in Transportation, CAN Bus Interface, Cloud Dashboard, 4G LTE Communication, Real-Time Vehicle Monitoring, Inertial Measurement Unit (IMU), MEMS Sensors, Fleet Management},
        month = {November},
        }