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@article{172741,
        author = {Shreyanshi Patel and Sachet Shende and Naudit Bisen and Arpit Wandhare and Tushar Sarve and Ankush Rahangdale},
        title = {GPS Based Automatic Speed E-Challan Generation As Per Speed Limit:A Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {1287-1290},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172741},
        abstract = {Today, traffic management systems play a pivotal role in enhancing road safety and maintaining adherence to traffic rules. Conventional enforcement of speed limits was highly dependent on manual involvement by traffic policemen, which entailed problems like human intervention and restricted efficiency. To overcome these problems, an IoT-based Vehicle Speed Challan Generation System was proposed and implemented with Arduino microcontrollers, GPS, and GSM modules. It continuously checks vehicle speed in real-time and issues electronic challans in case of violation.
The process starts with an audible warning sounded when a vehicle crosses the speed limit, providing an opportunity for the driver to slow down. In case compliance is not met, the system logs important violation information, such as GPS coordinates, speed, and timestamps, and uploads them to a secure cloud environment. Moreover, SMS notifications are directly sent to vehicle owners to provide timely communication. By automating traffic law enforcement and facilitating data-driven insights, this system minimizes reliance on human error and enables authorities to determine high-risk hotspots, monitor violations, and plan focused interventions. The system's advanced data-logging capabilities also facilitate long-term safety strategies and public information campaigns, promoting a safer road environment.},
        keywords = {GPS-Based Speed Monitoring, Automatic Challan Generation, IoT Traffic Management, Real-Time Speed Detection, GSM-Based Enforcement, Cloud-Based Traffic Data.},
        month = {February},
        }