Abstract

Reliable assessment of an individual’s driving skills is very important. The growing population of unskilled drivers will result in disastrous and fatal road accidents. Current situation demands better and accurate automated assessment technique for driver performance. This research aims to development a portable independent assessment system which can be installed in any vehicle. This system will monitor and understand the driver’s skills based on the data from sensors and access their performance using machine learning algorithm. Machine learning based classifiers with more than 90% accuracy are developed for classifying the driver skills. This proposed system will ensure one from possibilities of beaching the formal process and getting the license without qualification, it is a suggestion to the conventional method of assessment. This system could help in building better-skilled driver on the road for a healthy road environment.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call