• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.285-292
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• 2017

This paper describes a recursive least-squares based convergent algorithm for driving characteristic classification for personalized autonomous driving. Recently, various researches on autonomous driving technology have been conducted for level 4 fully autonomous driving. In order for commercialization of the autonomous vehicle, personalized autonomous driving is required to minimize passenger's insecureness to the autonomous vehicle. To address this problem. this study proposes mathematical model that represents driving characteristics and recursive least-squares based algorithm that can estimate the defined characteristics. The actual data of two drivers has been used to derive driving characteristics and the hypothesis testing method has been used to classify two drivers. It is shown that the proposed algorithms can derive driving characteristics and classify two drivers reasonably.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.249-255
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• 2018

This paper presents a human-centered control algorithm for personalized autonomous driving based on the integration of inverse time-to-collision and time headway. In order to minimize the sense of difference between driver and autonomous driving, the human-centered control technology is required. Driving characteristics in case that vehicle drives with the preceding vehicle have been analyzed and reflected to the longitudinal control algorithm. The driving characteristics such as acceleration, inverse time-to-collision, time headway have been analyzed for longitudinal control. The control algorithm proposed in this study has been constructed on Matlab/Simulink environment and the performance evaluation has been conducted by using actual driving data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.146-159
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• 2021

vehicle simulator as part of an empirical analysis the driving characteristics of elderly drivers. To this end, the driving characteristics of the elderly driver from previous study review. he driving characteristics of the elderly the driving elderly driver and general driverIn summarizing these experimental results, the -test showed different driving characteristics from general drivers in all items except for one side of the lane, such as driving speed and driving operation (brake, throttle, steering operation) at a significance level of 95%. Second, when changing lanes, it was difficult for elderly driver to maintain speed and secure an appropriate distance between carslderly driver changed lanes even in inappropriate situations (short distances between cars). Third, in unexpected situation, elderly drivers needed more distance and time.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.38 no.6
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• pp.9-21
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• 2001

This paper defines the mobility and rotatability, and a desired mobility and rotatability that can be achieved by adjusting the distance between two wheels of a mobile robot dynamically. The radii of wheels are assumed to be constant in this paper. If a mobile robot has a fixed axis connecting the two wheels, it may not be able to avoid a sudden obstacle because of the constraint of mobility and rotatability. The focus of this paper is on the instant rotatability with high and stable mobility. That is, by dynamically changing the distance between the two wheels, the mobile robot could get the high rotatability instantly and high mobility with high stability. Supposed that the mobility and rotatability that are defined in this paper are supplied to the design of a mobile robot, it will suggest a theoretical basis on the optimal design of the mobile robot with a given route condition and its states. The experimental data support the validity of the aforementioned mobility and rotatability.

• Journal of the KSME
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• v.28 no.1
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• pp.28-36
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• 1988

차량 주행특성을 규명하기 위한 연구방법에 대한 일반적 고찰을 토대로 주요 개방회로시험과 관련 평가기준들이 소개되었다. 그러나, 차량의 주행상 안전도 연구를 위한 종합적인 척도는 이제까지 설명된 평가기준들로부터 아직 명확히 귀결지을 수 없음을 강조하여야 한다. 이유로 서는, 한편으로 응용되어진 연구방법들이 실제 교통사고 발생상황을 포괄하기에는 아직 불충분 하며, 또 한편으로는 주어진 한 시험방법에서 주행안전도 판정을 위해 제기된 특성치가 절대적인 값으로 확정지을 수 없기 때문이다. 따라서 전체 시스템 '운전자-차량-환경'에 있어서 주행특 성의 완전한 평가를 내리기 위해서는, 객관적으로 서술될 수 있는 차량의 주행특성-안정성 및 조절성과 운전자에 의한 주관적인 판별 또한 환경요소에 의한 영향들에 대하여 상호 연관관계가 복합적으로 해석. 규명되어져야만 할 것이다.

• Annual Conference of KIPS
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• 2009.04a
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• pp.1025-1028
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• 2009

고속도로의 다양한 주행특성으로는 과속하는 차량, 휴게소나 기타목적의 이용차량, 운전자의 습관이나 피로도등이 있는데 이에 따라 고속도로 주행시간에 차이가 나타난다. 하지만 현재에는 이러한 특성을 고려하지 않고 통행시간 분류가 되고 있어 정확성과 신뢰성을 보장하지 못하고 있는 실정이다. 이에 본 연구에서는 데이터 분포에 따른 해석을 통하여 TCS데이터의 특성을 고려 할 수 있는 Fuzzy c-means 알고리즘과 단순히 임의의 초기값으로 분류하는 K-means와의 비교를 통해서 주행특성을 고려한 클러스터링 기법이 경우에 따라서 더 효과적이고 신뢰성 있는 분류방법이 될 수 있음을 증명하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.107-121
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• 2017

This study conducted a 3-stage survey and simulation experiment to identify the impact of vehicle platoons on car-following behavior of manually-driven vehicles. Vehicle maneuvering data obtained from driving simulations was statistically analyzed based on three measures including average speed, acceleration noise, and offset to represent the deviation of lateral movements. Results indicate that MV drivers tended to have psychological burden while driving in automated vehicle platooning environments, which resulted in different vehicle maneuvers. It is expected that the outcome of this study would be useful fundamentals in developing various traffic operations strategies for managing mixed traffic stream consisting of MVs and autonomous vehicles.

• Annual Conference of KIPS
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• 2009.04a
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• pp.1021-1024
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• 2009

현재 사용되고 있는 통행시간 분류방법은 하나의 통행시간을 대푯값으로 가지고 있다. 이에 문제점은 고속도로 특성으로 규정 속도 이상의 속도로 주행하는 차량, 규정 속도 및 휴게소 이용차량, 운전자의 운전 습성, 통행 목적, 피로의 정도, 운전자 성향과 도로상황에 따라 통행시간이 다르게 나타나는 점이다. TCS(Toll Collection System) 자료는 고속도로의 다양한 특성이 포함되어 있으며, 대상 구간의 거리가 멀수록 목적지에 도달하는 통행시간의 분산이 커지는 특성 또한 보인다. 따라서 이를 처리하기 위한 효율적인 통행시간 분류, 구간대표통행시간 추출 알고리즘이 필요하다. 기존의 방법은 전체 통행차량의 통행시간을 감안한 방법으로 통행시간 예측시 정확성이 저하된다. 본 연구에서는 TCS 자료를 Fuzzy c-means 알고리즘을 이용하여 일일 고속도로 통행시간의 시간별 주행특성을 고려한 대푯 값을 추출하는 알고리즘을 제안하였다. 실제 서울-청주 구간을 운행한 TCS 자료를 가지고 실시한 실험으로, 주행특성 및 도로상황을 고려한 Fuzzy c-means를 이용한 통행시간 분류방법과 기존의 통행시간 분류 방법을 통한 통행시간을 PIFAB를 사용 TCS 자료의 실제 통행시간과 경로통행시간을 비교 평가하였다. 평가한 결과 본 연구에서 제안하는 Fuzzy c-means기법은 기존 방법인 MAD기법보다 75%, 신뢰구간(95%) 추출법 대비 81%의 정확성을 제고하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.681-687
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• 2017

We investigated the potential for wind-power generation using the wind produced by express trains. We built equipment to detect the wind velocity, including wind meters and a data analyzer. We considered various conditions that might change the wind. First, we measured the velocity and duration of the wind at three locations distinguished by the presence of a tunnel and a valley landscape. We analyzed the changes in the wind according to the geometric conditions. Also, we analyzed the changes in the wind according to three different heights relative to the train. We also compared the wind produced by a KTX train and an SRT train. Finally, we used the results to derive the wind power energy harvested from the wind and discuss the expected utility.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.857-866
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• 2020

'Movement' is an expanded concept of 'place' where people act, interact with one another and achieve a specific purpose at every moment. Wheelchairs, as a mobility aid, have a profound impact on improving the quality of physical and psychological well-being for the mobility disadvantaged groups who have mobility difficulties. Such mobility aids were developed mainly for outdoor activities, but in recent years, mobility aids for indoor spaces, the main living environment, are also being developed. Because indoor mobility aids generally move short distances repeatedly, this study examined the characteristics of lithium-ion batteries in short-distance driving of battery-powered wheelchairs and compared them with the characteristics of lithium-ion batteries in continuous driving. The result showed that the driving time for short-distance driving was 2.8% shorter than that of continuous driving. The current supplied to the motor was 15.4% higher for short-distance driving than that of continuous driving.