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The Journal of The Korea Institute of Intelligent Transport Systems Vol.8 No.6 pp.1-12

데이터마이닝을 이용한 운행패턴 분석방법에 대한 연구

김현숙,최종우,김대우,박호성,노성기,박정희

An Application of Data Mining Techniques in the Driving Pattern Analysis

Hyun-Suk Kim,Jong-Woo Choi,Dae-Woo Kim,Ho-Sung Park,Sung-Kee Noh,Cheong-Hee Park

Abstract

Recently, as the importance of Economical Driving has been gradually growing up, the needs for research on automatic analysis of driving patterns that will ultimately provide drivers the methods for Economical Driving have been increasingly risen. Based on this purpose, we have executed two things in this paper. First, we have collected overall driving information such as date, distance, driving time, speed, idle time, sudden acceleration/deceleration count, and the amount of fuel consumption. Second, we have analyzed the influences of driving patterns on economical driving by employing the data mining techniques. These results can be applied in preventing bad driving patterns which will have consequently bad effects on Economical Driving in two aspects: by presenting some information on the terminal of the vehicles such as idle time, over-speed time, sudden acceleration/deceleration count continuously and by providing the drivers with alert information when the idle time ratio and the over-speed time ratio are excessive.