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Correlation between Car Accident and Car Color for Intelligent Service
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Seong-yoon Shin (Department of Computer Information Engineering, Kunsan National University)
Sangwon Lee (Division of Information and Electronic Commerce (Institute of Convergence and Creativity), Wonkwang University)
Vol. 19, No. 4, Page: 11 ~ 20
10.13088/jiis.2013.19.4.011
Keywords
Intelligent Traffic Systems, Car color, Car accident, Advancing color, Receding color
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.
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지능형서비스를 위한 자동차사고와 자동차색깔의 상관관계
신성윤 (군산대학교 컴퓨터정보공학과)
이상원 (원광대학교 정보전자상거래학부)
Keywords
지능형교통시스템, 자동차색, 자동차사고, 전진색, 후퇴색, 색수차
Abstract
지능형 교통 시스템을 설계하는데 있어서, 통신, 외관, 환경, 부수 기능, 안전 등이 반드시 고려되어야 한다. 또한, 자동차를 선택하는데 있어서도, 소비자는 이러한 특성들을 고려한다. 본 논문에서는, 지능화된 교통 서비스를 운영하거나 자동차 구매 의사결정을 하는데 있어서, 자동차 색깔이 자동차 안전에 있어서 매우 중요한 의미를 갖는다는 것을 밝히고자 한다. 자동차 안전과 관련이 있는 자동차 색깔에 따른 자동차 사고 확률에 대해 연구하였다. 그리고, 전진색과 후퇴색의 개념에 대해서도 연구하였다. 전진색은 실제보다 가깝게 보이기 때문에 사고를 적게 유발하지만, 후퇴색은 실제보다 멀리 보이기 때문에 사고를 많이 유발한다. 우리는 자동차 사고 건수를 고려하여, 자동차 색깔을 8개로 분류하고 이들의 등급을 부여하였다. 또한, 우리의 연구를 실증하기 위해서, 군산에 있는 거주자를 대상으로 전화상담을 통해 조사를 하였다.
Cite this article
JIIS Style
Shin, S.-y., and S. Lee, "Correlation between Car Accident and Car Color for Intelligent Service", Journal of Intelligence and Information Systems, Vol. 19, No. 4 (2013), 11~20.

IEEE Style
Seong-yoon Shin, and Sangwon Lee, "Correlation between Car Accident and Car Color for Intelligent Service", Journal of Intelligence and Information Systems, vol. 19, no. 4, pp. 11~20, 2013.

ACM Style
Shin, S.-y., and Lee, S., 2013. Correlation between Car Accident and Car Color for Intelligent Service. Journal of Intelligence and Information Systems. 19, 4, 11--20.
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@article{Shin:JIIS:2013:549,
author = {Shin, Seong-yoon and Lee, Sangwon},
title = {Correlation between Car Accident and Car Color for Intelligent Service},
journal = {Journal of Intelligence and Information Systems},
issue_date = {December 2013},
volume = {19},
number = {4},
month = Dec,
year = {2013},
issn = {2288-4866},
pages = {11--20},
url = {http://dx.doi.org/10.13088/jiis.2013.19.4.011 },
doi = {10.13088/jiis.2013.19.4.011},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Intelligent Traffic Systems, Car color, Car accident, Advancing color and Receding color },
}
%0 Journal Article
%1 549
%A Seong-yoon Shin
%A Sangwon Lee
%T Correlation between Car Accident and Car Color for Intelligent Service
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 19
%N 4
%P 11-20
%D 2013
%R 10.13088/jiis.2013.19.4.011
%I Korea Intelligent Information System Society