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Motorcycle accidents have been growing day by day throughout the years because road safety is often neglected by riders worldwide leading to accidents and deaths. The demand for a transparent, quick and hassle-free traffic violations management systems with the support of E challan has been the need of the day in a vast country like India with large motor vehicles with limited police enforcement infrastructure. The proposed system not only disciplines the commuters and the traffic police officials, but also can enhance the level of compliance and thereby arrest revenue leakage to the governmental agencies. The paper proposes an automated E challan generating system that works with the existing vehicle database capable of detecting helmet and non-helmet bike rider and provide online interface to the offenders for payment of traffic fines whenever they are captured by the system as non-helmet bike rider. The prototype enables the traffic police to seek online identification of the driver as well as the vehicle and the E-challan system supports the offenders to enable the payment through the link transmitted to his e mail ID for complying with the requirements of fine payment. Further the police officials are tracked and logged for enabling a performance assessment.
"Automatic E-Challan Generation on the Violation of RTO Helmet Rules. ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1755 - 1762, July-2022, Available :http://www.ijrti.org/papers/IJRTI2206261.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator