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Abstract

This project focuses on automatic riding pattern recognition based on a machine-learning approach. The proposed methodology considers the multivariate aspect of the data and the mechanical correlation between the different parameters measured on a two wheeler. Real experiments are conducted by different subjects driving two wheeler instrumented with accelerometers, gyroscopes, and vehicle sensors. The riding pattern recognition problem is then formulated as a classification problem to identify the class of the riding pattern from the measurements provided by 3-D accelerometer/gyroscope sensors mounted on the motor cycle. This project also focuses on implementing Co emission monitoring and reporting system in the Transport vehicle.

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How to Cite
Mr.P.Kalyana Sundaram, B.S.Kavinaya, S.Manjula, N.Manoj, & S.Mohammed Rafik. (2018). Design and development of driver’s driving pattern analysis for automatic license issuing system . International Journal of Intellectual Advancements and Research in Engineering Computations, 6(1), 363–368. Retrieved from https://ijiarec.com/ijiarec/article/view/466