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http://dx.doi.org/10.12815/kits.2017.16.2.180

Design and Implementation of Automatic Scoring Software to improve the Efficiency of Driving License Test  

Kim, Cheol Woo (Neo Information Systems Co, Ltd.)
Yang, Jaesoo (Dept. of Computer Engineering, Graduate School, Dankook University)
Na, Wonshik (Dept. of Computer Science, Namseoul University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.2, 2017 , pp. 180-189 More about this Journal
Abstract
Some people who take a driver's license test retake it again because of license cancellation, but most of them take the test for the first time to drive the car. Driving a car is directly linked to life, and the initial correct driving habits are more important than anything else. In particular, it is very important to obtain a license by evaluating the correct driving ability based on objective and fair standards when learning the first driving, because many people acquire a driving license while entering the society for the first time. In this paper, we propose the S / W design and its main functions that can emit high quality drivers through efficient, fair and accurate automated scoring. Through this, it is proposed to improve the automatic grading driver's license system, to prevent traffic accidents, and to reduce traffic accidents through proper driving.
Keywords
Automated driving license test; safety service; driving license evaluation program;
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