• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.37-44
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• 2015

In this paper, we propose the assistance method to enable safe driving through analysis of dangerous driving behavior using real-time alarm by vehicle speed, azimuth data and smartphone. For this method, smartphone is receiving driving data from digital tachograph using communication. Safe driving habit is a very important issue to commercial vehicle because that driver's long time driving than other vehicle type driver. Existing methods are very inefficient to improve immediately dangerous driving habits during driving because proceed driving behavior analysis after the vehicle operation. We propose the new safe driving assistance method that can prevent traffic accidents by real-time and improve the driver's wrong driving habits through real-time dangerous driving behavior analysis and notification the result to the driver. We have confirmed that the method in this paper will help to improve driving habits and can be applied through the proposed method implementation and simulation experiment.

• 한국컴퓨터정보학회논문지
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• 제20권2호
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• pp.55-62
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• 2015

본 논문에서는 디지털 운행기록장치를 활용하여 자동차 운전자에 대한 실시간 위험운전행동 분석 및 경고를 통한 운전습관 개선과 안전운전 지원이 가능한 방법을 제안한다. 대부분의 교통사고와 에코 드라이빙은 자동차 운전자의 운전습관과 밀접한 관련이 있으며 이러한 운전습관을 자동화된 방법으로 실시간 분석 및 경고로 잘못된 운전습관을 개선시킬 필요가 있다. 제안 방법에 대한 구현 및 실험을 통하여 본 논문에서 제안하는 방법으로 운전자의 위험운전행동에 대한 실시간 분석 및 경고를 해줌으로써 운전습관 개선 유도와 안전운전을 지원하여 에코 드라이빙에 실제로 도움이 될 수 있음을 증명하였다.

• International Journal of Automotive Technology
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• 제4권2호
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• pp.101-108
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• 2003

There are a lot of factors that influence automotive fuel economy such as average trip time per kilometer, average trip speed, the number of times of vehicle stationary, and so forth. These factors depend on road conditions and traffic environment. In this study, various driving data were measured and recorded during road tests in Seoul. The accumulated road test mileage is around 1,300 kilometers. The objective of the study is to identify the driving patterns of the Seoul metropolitan area and to analyze the fuel economy based on these driving patterns. The driving data which was acquired through road tests was analysed statistically in order to obtain the driving characteristics via modal analysis, speed analysis, and speed-acceleration analysis. Moreover, the driving data was analyzed by multivariate statistical techniques including correlation analysis, principal component analysis, and multiple linear regression analysis in order to obtain the relationships between influencing factors on fuel economy. The analyzed results show that the average speed is around 29.2 km/h, and the average fuel economy is 10.23 km/L. The vehicle speed of the Seoul metropolitan area is slower, and the stop-and-go operation is more frequent than FTP-75 test mode which is used for emission and fuel economy tests. The average trip time per kilometer is one of the most important factors in fuel consumption, and the increase of the average speed is desirable for reducing emissions and fuel consumption.

• 자동차안전학회지
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• 제10권1호
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• pp.38-44
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• 2018

This paper presents an analysis on driving safety in lane change situation based on road driving data. Autonomous driving is a global trend in vehicle industry. LKAS technologies are already applied in commercial vehicle and researches about lane change maneuver have been actively studied. In autonomous vehicle, not only safety control issue but also imitating human driving maneuver is important. Driving data analysis in lane change situation has been usually dealt with ego vehicle information such as longitudinal acceleration, yaw rate, and steering angle. For this reason, developing safety index according to surrounding vehicle information based on human driving data is needed. In this research, driving data is collected from perception module using LIDAR, radar and RT-GPS sensors. By analyzing human driving pattern in lane change maneuver, safety index that considers both ego vehicle and surrounding vehicle state by using relative velocity and longitudinal clearance has been designed.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2002년도 기초기술위원회 워크샵
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• pp.27-52
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• 2002

Pile driving formula, wave equation analysis of pile driving(WEAP) and dynamic pile loading test have been known to useful tools to appraise the behaviour of pile driving. This paper reviews basic theories of three methods and gives some suggestions to apply them to practice. And also some cases on application of the methods to the sites are discussed in this paper. It appears that it is inevitable for engineers to be experienced well so that the methods can be regarded as useful tools.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2014년도 추계학술대회 논문집
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• pp.267-272
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• 2014

In this paper, we analyze the characteristics for the driving shock resistance of the military vehicle through the bump test. Prior to the experiment, theoretical analysis was performed by using the SRS(shock response spectrum) and VRS(vibration response spectrum) analysis method. And we estimated the characteristics for the driving shock resistance of the military vehicle. Bump test was performed using the acceleration sensor and the driving test at a different speed. We evaluated the characteristics for the driving shock resistance of the military vehicle based on the result. And predicted values were compared with the theoretical analysis. In addition, we evaluated the results of the theoretical prediction of the SRS and the VRS analysis. And we evaluate the suitability of the prediction method at military vehicle shock analysis.

• 대한산업공학회지
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• 제41권5호
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• pp.499-510
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• 2015

The purpose of this research is to identify new service opportunities for enhancing driving safety of intra-city buses based on driving behavior analysis. Service opportunity identification involves finding target customers of service (to whom), motivations for service (why), service contents (what), and service delivery process (when, where). This paper presents an analysis of driving behaviors using the operational data of intra-city buses in conjunction with traffic accident data and drivers' driving history data. This paper also presents four identified service opportunities based on the data analysis results. This research would contribute to enhancing driving safety of intra-city buses in Korea and serve as a basis for developing new services for driving safety enhancement.

• 한국ITS학회 논문지
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• 제14권5호
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• pp.13-22
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• 2015

최근 교통사고 주요 원인인 인간행동(인적요인)에 대해 관심이 높아졌으며 운전행동분석 도구인 DBQ(Driver Behavior Questionnaire)를 활용한 운전행동(Driving Behavior)에 관한 연구가 활발히 진행되고 있다. 국내에서 진행된 선행연구는 분석대상이 연구원이나 군 공무원으로 한정되며 분석방법은 요인분석 및 회귀분석을 통해 이루어졌다. 이에 본 연구에서는 일반운전자의 운전행동이 위험운전에 미치는 영향요인을 파악하고 이들의 영향관계를 규명하고자 한다. 연구의 범위는 운전경력이 있는 일반운전자를 대상으로 DBQ설문을 실시하여 300부의 유효 표본수를 분석하였으며, 선행연구 고찰을 통해 교통사고의 주요 요인을 DBQ에서 측정가능한 'Lapse, Mistake, Violation' 세 가지속성으로 도출하고 구조방정식 모형을 통한 위험운전행동 모형을 구축하였다. 또한, 위험운전군별 차이를 확인하기 위하여 다중집단분석을 활용하였다. 분석결과 첫째, 'Lapse, Mistake, Violation 요인은 위험운전행동에 영향을 미칠 것이다'라는 가설검증 결과 모든 요인의 통계적 유의성이 확인되었다. 위험운전행동에 미치는 영향정도는 Violation 0.464, Lapse 0.383, Mistake 0.158 순으로 나타났으며 영향을 가장 많이 미치는 요인이 Violation으로 분석되었다. 둘째, 'Lapse, Mistake, Violation 요인이 위험운전행동에 미치는 영향은 위험군에 따라 다를 것이다'라는 가설검증 결과 Lapse 요인이 위험운전행동에 미치는 영향력이 차이가 있는 것으로 분석되었다. 본 연구결과는 위반행동 Violation과 부주의한 실수 Lapse를 고려한 교통사고 예방 프로그램 및 교육도입에 기초자료로 활용 가능할 것이다.

• 한국생산제조학회지
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• 제19권2호
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• pp.178-183
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• 2010

Base-mounted type(BMT) driving assembly in CNC machine tools is an indispensable part to improve productivity by reducing tool changeover time and to meet the ever-increasing demand of precision machine tools. This study aimed to perform finite element analysis and geometric parameter optimization to improve the efficiency of BMT driving assembly. First, simulations for three-dimensional structural and vibration analysis were performed using ANSYS/Workbench on the initial geometric models of BMT driving assembly. After analyzing stress and deformation concentration zones, several new geometrical models were designed and evaluated by design of experiments and ANSYS/DesignXplorer. Through a series of analysis-evaluation-modification cycles, it was seen that designed models were effective in determining optimal geometry of BMT driving assembly.

• 대한기계학회논문집A
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• 제21권6호
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• pp.871-883
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• 1997

Kinetodynamics of a cam driving slider mechanism consists of kinematic analysis and force analysis. The kinematic analysis is to determine the kinematic characteristics of a cam driving mechanism and a slider mechanism. The force analysis is to determine the joint forces of links, the contact forces of the cam and follower, and the driving torque of a main shaft. This paper proposes a close loop method and a tangent substitution method to formulate the relationships of kinematic chains and to calculate the displacement, velocity and acceleration of the cam driving slider mechanism. Also, and instant velocity center method is proposed to determine the cam shape from the geometric relationships of the cam and the roller follower. For dynamic analysis, the contact force and the driving torque of the cam driving slider mechanism are calculated from the required sliding forces, sliding motion and weight of the slider.