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http://dx.doi.org/10.13088/jiis.2013.19.4.011

Correlation between Car Accident and Car Color for Intelligent Service  

Shin, Seong-Yoon (Department of Computer Information Engineering, Kunsan National University)
Lee, Sangwon (Division of Information and Electronic Commerce (Institute of Convergence and Creativity), Wonkwang University)
Publication Information
Journal of Intelligence and Information Systems / v.19, no.4, 2013 , pp. 11-20 More about this Journal
Abstract
In designing Intelligent Traffic Systems, it should be necessary to consider telecommunications, appearance, environment, auxiliary functions, safety, and so on. Also, in choosing a car, a consumer considers those properties. This paper tried to elucidate the fact that car color has a very significant meaning for car safety when administrating intelligent traffic services and making car-purchasing decision. We first studied on occurrence probability of car accident according to car color that has something to do with car safety. Then, we studied on the concepts of advancing color and receding color. Advancing color causes less accidents since the color looks closer than it actually is. And receding color causes more accidents since the color looks farther than it actually is. And we classified car colors into eight classes and assign their ranking to each class, considering the number of car accidents. We tried to verify our research by use of telephone questionnaire for residents in Kunsan, Republic of Korea.
Keywords
지능형교통시스템;자동차색;자동차사고;전진색;후퇴색;색수차;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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