• 서비스연구
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• 제6권2호
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• pp.83-97
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• 2016

스마트카는 편의성, 안전성, 사용자경험을 극대화시킨 차로 기존 자동차에 비해 복잡하고 많은 기능을 갖기 때문에 가격이 비싸진다. 본 논문의 목적은 스마트카가 갖는 여러 기능 가운데 Kano 품질속성 관점에서 소비자들이 원하는 필수기능을 도출한다. 실증적 분석 결과, 품질속성은 매력적 품질속성과 무관심 품질속성으로 분류되었다. 일반적으로 스마트카의 목적이 안전성과 사용자 경험을 극대화하는 것이지만 소비자들은 편의성에 더 높은 가치를 두었다. 이러한 연구결과는 향후 스마트카 설계에서 중요한 시사점을 제공할 것이다. 본 연구의 활용방안으로 카노품질 속성 관점에서 스마트카를 선정하는 계층적분석과정 모델을 제안한다.

• 융합경영연구
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• 제5권3호
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• pp.1-11
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• 2017

E-infrastructural economy for ICT Living-Labs is a need for economic and cultural changes in various types of cars in accordance with the supply of the electric car. Depending on the number of cases by analyzing the supply and demand of electric vehicles among Korea and Northern Europe countries. it was indirectly proved that it makes economic growth. The research design is analyzed with the data and how to respond quickly to focus on the possibility of potential changes to the infrastructure realization and commercialization of government enterprises or electric cars through the ICT Living-Labs in Nordic countries. The data indicates that the leading commercialization emphasize on the development of the electric economic convergence and scalability for electric vehicle. When It shows the time of the infrastructure as ICT Living-Labs being delayed, it lowered growth target results for the development of the electric car industry in the future. All this is from the reason of opening the E-convergence economy over time. It is required that Korea should prepare E-convergence economy. Public regional energy should be present through the consistent selection of development for energy linking E-economy and E-trans distribution. Korea needs to be many difficulties in building the E- infrastructure for ICT Living-Labs. Unlike the Northern Europe it is to prepare the active support of both government and business. The role of the government discovers that the power generation through the quick selection of the industry, as well as to connect with the growth of the smart cities with the EVs industry.

• 자동차안전학회지
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• 제11권3호
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• pp.30-36
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• 2019

This paper suggests a car-following algorithm for urban environment, with multiple target candidates. Until now, advanced driver assistant systems (ADASs) and self-driving technologies have been researched to cope with diverse possible scenarios. Among them, car-following driving has been formed the groundwork of autonomous vehicle for its integrity and flexibility to other modes such as smart cruise system (SCC) and platooning. Although the field has a rich history, most researches has been focused on the shape of target trajectory, such as the order of interpolated polynomial, in simple single-lane situation. However, to introduce the car-following mode in urban environment, realistic situation should be reflected: multi-lane road, target's unstable driving tendency, obstacles. Therefore, the suggested car-following system includes both in-lane preceding vehicle and other factors such as side-lane targets. The algorithm is comprised of three parts: path candidate generation and optimal trajectory selection. In the first part, initial guesses of desired paths are calculated as polynomial function connecting host vehicle's state and vicinal vehicle's predicted future states. In the second part, final target trajectory is selected using quadratic cost function reflecting safeness, control input efficiency, and initial objective such as velocity. Finally, adjusted path and control input are calculated using model predictive control (MPC). The suggested algorithm's performance is verified using off-line simulation using Matlab; the results shows reasonable car-following motion planning.

• 산업경영시스템학회지
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• 제42권4호
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• pp.23-30
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• 2019

Automobiles are largely divided into passenger cars with less than five passengers and commercial vehicles such as construction machines, trucks, mixers, special lorries, and large buses. Automobile maintenance companies are also divided into passenger cars and commercial vehicles. Because commercial vehicles are the livelihood vehicles of individual carriers engaged in cargo transportation, passenger transportation, and construction, fast and accurate maintenance is important. Access to the expressway is also important because the car is large and uses highways. In addition, the time required for troubleshooting is long, so sufficient space must be secured for parking the vehicle, and ease of entry and exit of the vehicle in the maintenance shop should be fully considered. For this reason, commercial vehicle maintenance companies have higher initial investment costs than car maintenance companies, and it is difficult to supply and maintain maintenance personnel. Therefore, it is necessary to carefully examine and analyze various related factors for successful commercial vehicle maintenance company selection. However, most existing commercial vehicle maintenance companies often choose their location based on the empirical judgment of the founder, the customs and the case, without a clear analysis. In this study, we show how to derive the location selection factors to be considered when establishing professional maintenance company for commercial vehicles and to select the optimal location by using AHP (Analytic Hierarchy Process) method.

• 대한교통학회지
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• 제32권2호
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• pp.93-105
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• 2014

본 연구는 자료포락분석(Data Envelopment Analysis: DEA) 기법을 활용하여 도로이동오염원 저감대책의 상대적 효율성 평가와 그에 기반하여 우선순위를 결정하였다. 현재 시행 중이거나 장래 계획 가능한 도로이동오염원 저감 대책들을 근거로 실효성 높은 자동차 온실가스와 대기오염물질 저감 대책 10개를 선정하여 시나리오를 구성하였으며, 대기오염물질 4개(CO, HC, NOX, PM), 온실가스 3개($CO_2$, $CH_4$, $N_2O$)물질에 대해 장래 통행패턴을 고려한 교통수요예측모형과 가변적 복합배출계수를 활용하여 2027년도를 최종 목표년도로 저감량을 산정하였다. 저감 대책들 간의 상대적 효율성을 평가하기 위해 DEA모형 중 초효율성 분석을 수행한 결과, 승용차 요일제 참여 확대 대책이 효율성 점수 1.879로 가장 우선순위가 높은 저감대책으로 선정되었으며, 버스전용차로 확대, CNG버스 보급 대책의 효율성이 높은 것으로 분석되었다. 본 연구의 결과는 자동차 온실가스와 대기오염물질 저감대책 우선순위 선정 결정 시 절대적인 자료로 활용될 수는 없지만 저감대책의 방향성을 제시하고 있으므로 향후 자동차 배출량 저감 정책방향 설정 및 체계적인 중장기 저감대책 수립에 기여할 수 있을 것으로 기대된다.