• Journal of Service Research and Studies
• /
• v.13 no.3
• /
• pp.105-126
• /
• 2023

The domestic used car market continues to grow along with the used car online platform service. The used car online platform service discloses vehicle specifications, accident history, inspection history, and detailed options to service consumers. Most of the preceding studies were predictions of used car prices using vehicle specifications and some options for vehicles. As a result of the study, it was confirmed that there was a nonlinear relationship between used car prices and some specification variables. Accordingly, the researchers tried to solve the nonlinear problem by executing a Machine Learning model. In common, the Regression based Machine Learning model had the advantage of knowing the actual influence and direction of variables, but there was a disadvantage of low Cost Function figures compared to the Decision Tree based Machine Learning model. This study attempted to predict used car prices of six domestic brands by utilizing both vehicle specifications and vehicle options. Through this, we tried to collect the advantages of the two types of Machine Learning models. To this end, we sequentially conducted a regression based Machine Learning model and a decision tree based Machine Learning model. As a result of the analysis, the practical influence and direction of each brand variable, and the best tree based Machine Learning model were selected. The implications of this study are as follows. It will help buyers and sellers who use used car online platform services to predict approximate used car prices. And it is hoped that it will help solve the problem caused by information inequality among users of the used car online platform service.

• Journal of Service Research and Studies
• /
• v.14 no.1
• /
• pp.27-43
• /
• 2024

The market share of online platform services in the used car market continues to expand. And The used car online platform service provides service users with specifications of vehicles, accident history, inspection details, detailed options, and prices of used cars. SUV vehicle type's share in the domestic automobile market will be more than 50% in 2023, Sales of Hybrid vehicle type are doubled compared to last year. And these vehicle types are also gaining popularity in the used car market. Prior research has proposed a used car price prediction model by executing a Machine Learning model for all vehicles or vehicles by brand. On the other hand, the popularity of SUV and Hybrid vehicles in the domestic market continues to rise, but It was difficult to find a study that proposed a used car price prediction model for these vehicle type. This study selects a used car price prediction model by vehicle type using vehicle specifications and options for Sedans, SUV, and Hybrid vehicles produced by domestic brands. Accordingly, after selecting feature through the Lasso regression model, which is a feature selection, the ensemble model was sequentially executed with the same sampling, and the best model by vehicle type was selected. As a result, the best model for all models was selected as the CBR model, and the contribution and direction of the features were confirmed by visualizing Tree SHAP Value for the best model for each model. The implications of this study are expected to propose a used car price prediction model by vehicle type to sales officials using online platform services, confirm the attribution and direction of features, and help solve problems caused by asymmetry fo information between them.

• LP가스
• /
• v.23 no.6
• /
• pp.6-7
• /
• 2011

• Transactions of the Korean Society of Automotive Engineers
• /
• v.10 no.4
• /
• pp.141-148
• /
• 2002

Repair were made for front pillar, center pillar and side-step panel for lightweight vehicles with head-on and 40% off-set collision of 15 km/h in a RCAR standard. The salt dilution was sprayed and the compression tests were performed for vehicles with and without anti-corrosional treatment after repair. After 764 hours of salt-dilt sprayed test without using anti-corrosion, the mean penetration depth fur corrosion was shown to be 58% of the thickness. The resulyed decrease in bending stiffness by 10∼20% can cause reduction of the residual life and crash-absorption capability for damaged vehicles. The corrosoin safety tests showed that the anti-corrosional treatment should be made to improve the safety characteristics for a or damaged car.

• Proceedings of the KIEE Conference
• /
• 2006.10d
• /
• pp.232-234
• /
• 2006

기존노선을 이용한 고속화 신기술 개발사업 과제를 수행하여 중장거리 및 도시간의 교통해소를 위해 중고속 철도차량을 개발하여 최고속도 180km/h의 속도로 운행할 수 있는 차량의 개발에 있어 핵심 전장품인 열차제어진단장치를 국산화하여 수입대처효과 및 기술개발에 기여하고 있다.

• 보일러설비
• /
• no.2 s.145
• /
• pp.150-152
• /
• 2006

햇살이 차츰 따사로워지면 겨울 내내 소홀히 했던 자동차 점검에 관심을 가져야 한다. 겨울철에는 특별한 이상이 없는 한 점검에 게으른 경향이 있다. 겨울철 차량관리가 혹독한 환경에서 발생될 수 있는 고장이나 사고를 예방하기 위한 차원이라면 봄철관리는 상처입은 부위를 어루만져 주는 개념이다. 추운날씨로 인해 오일류가 변질됐을 가능성이 있는 데다 도로에 뿌린 염화칼슘이 차체에 달라붙어 차의 부식을 급진전시키기 때문이다. 따라서 겨울이 지난 따뜻한 봄날 대청소를 하는 기분으로 차량점검을 꼼꼼히 하자. 중고차 시장에 내놓을 경우 잘 관리한 차가 높은 가격을 받을 수 있다. 물론 철저한 관리가 사고를 예방하는 데 한몫 한다는 것도 잊지 말자.

• Proceedings of the KIEE Conference
• /
• 2004.04a
• /
• pp.284-286
• /
• 2004

기존노선을 이용한 고속화 신기술 개발사업 과제를 수행하여 중장거리 및 도시간의 교통해소를 위해 중고속 철도차량을 개발하여 최고속도 180km/h의 속도로 운행할수 있는 차량의 주요 전기시스템인 주변압기, 주변환장치, 견인전동기, 보조전원장치의 설계 및 사양을 정립하여 TTX차량을 제작하는 연구를 수행하였다.

• Proceedings of the KIEE Conference
• /
• summer
• /
• pp.1328-1330
• /
• 2004

기존노선을 이용한 고속화 신기술 개발사업 과제를 수행하여 중장거리 및 도시간의 교통해소를 위해 중고속 철도차량을 개발하여 최고속도 180km/h의 속도로 운행할수 있는 차량의 주요 전기시스템인 주변압기, 주변환장치, 견인전동기, 보조전원장치의 설계 및 사양을 정립하여 TTX차량을 제작하는 연구를 수행하였다.

• Proceedings of the KIEE Conference
• /
• summer
• /
• pp.1460-1462
• /
• 2004

기존노선을 이용한 고속화 신기술 개발사업 과제를 수행하여 중장거리 및 도시간의 교통해소를 위해 중고속 철도차량을 개발하여 최고속도 180km/h의 속도로 운행할수 있는 차량의 개발에 있어 핵심 전장품인 열차제어진단장치를 국산화하여 수입대처효과 및 기술개발에 기여하고 있다.

• Proceedings of the KIEE Conference
• /
• 2005.07b
• /
• pp.1559-1561
• /
• 2005

기존노선을 이용한 고속화 신기술 개발사업 과제를 수행하여 중장거리 및 도시간의 교통해소를 위해 중고속 철도차량을 개발하여 최고속도 180km/h의 속도로 운행할수 있는 차량의 개발에 있어 핵심 전장품인 열차제어진단장치를 국산화하여 수입대처효과 및 기술개발에 기여하고 있다.