• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.32-38
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• 2020

This study examined the problems of existing vehicles to propose alternatives to improve the crashworthiness of railway freight cars through collision acceleration analysis using a one-dimensional collision analysis method. A collision scenario of railway shunting and crash accidents was selected from the collision accident cases and international standards. A one-dimensional collision simulation using LS-DYNA was performed according to those scenarios. As a result, the acceleration level of the freight wagon was calculated to be under 2g and was predicted to meet the EN 12663 standard in the shunting situation. On the other hand, the result of crash simulation with an impact velocity between 10 and 15 km/h revealed the shock absorber capacity of the railway coupler to be insufficient in a crash situation, resulting in increased acceleration, and carbody deformation could be predicted. As a method of improving the crashworthiness, a deformation tube-type energy absorber was applied to the coupler system, and collision analysis was performed again with new energy absorption strategy. Overall, the simulation showed that the acceleration level was decreased by 12% of the conventional freight-car energy absorption system.

• Transactions of the Korean Society of Mechanical Engineers
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• v.14 no.6
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• pp.1436-1445
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• 1990

Performance of vehicles depends mainly on engine performance, transmission gear ration and shifting pattern. In this paper, determination method of gear ratios and shifting pattern for automatic transmission equipped vehicles has been proposed. Computer programs for gear ratio determination and shifting pattern decision using optimal design technique have been developed for the purpose of increasing vehicle acceleration performance. For preceding study, computer simulation of vehicle performance is carried out using numerical technique.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.3
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• pp.53-64
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• 2013

The car-following model is one of core models in Advanced Vehicle & Highway Systems (AVHS). The car-following model has been developed in aspects such as human factor and reduction error rates. However, the consideration of safety depending on weather condition has not been completed yet. In this paper, therefore, changes of driving condition for car-following due to different road condition were dealt with, and optimal safety distance corresponding to road condition such as dry, wet and snowy were computed. The GMIT(GM Model with Instantaneous T) model was picked over for simulation of adaptive cruise control applied the suggested optimal safety distance. As the results, the 1.7 times longer safety distance was required for wet road condition than dry road condition, and the 5.6 times longer safety distance was required for snowy road condition.

• Transactions of the KSME C: Technology and Education
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• v.5 no.2
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• pp.115-126
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• 2017

This paper proposes an accelerated life evaluation of drive shaft for the power train parts of special purpose vehicle. It is necessary the real load data of usage level driving load condition for life evaluation of power train parts, but we can't get the load spectrum data for evaluation in many case of special purpose vehicle. So, in this paper, the road load spectrum data for evaluation is created by modeling and simulation based on vehicle data and special road condition. The inverse power model is used for accelerated life test. The equivalent torque of load spectrum is achieved using the Miner's Rule. This paper also proposes the calibrated acceleration life test method for drive shaft. The fatigue test is performed through three stress levels. The lifetime at normal stress level is predicted by extrapolation, and is verified through comparison of experimental results and load spectrum data.

• Journal of the Korean Society of Propulsion Engineers
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• v.11 no.2
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• pp.62-70
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• 2007

The aiming ability is a to improve accuracy performance of the firing vehicle. This paper describes the detection method of chatter vibration using disturbance acceleration in the pointing structure. In order to analysis vibration trends of the pointing system occurred during vehicle drive, acceleration data was processed by using data processing algorithm with moving average and Hilbert transform. Specific mode constants of acceleration were obtained under various disturbances. Vehicle velocity, road condition, property of pointing structure were considered as factors which make change of vibration trend in vehicle dynamics. Finally, back propagation neural networks have been applied to the pattern recognition for the classification of vibration signal in various driving conditions. Results of signal processing were compared and analysed.

• Elastomers and Composites
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• v.45 no.4
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• pp.291-297
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• 2010

Strut insulator in a vehicle is an important part to prevent noise and vibration which is created for driving on the road. Most of the viscoelastic-mounts are made of rubber and natural rubber is the key ingredient. These rubber products show well performance for the initial time, but they will degrade after they are exposed to a high temperature circumstance and a cyclic load. NVH performance and comfort in a vehicle were decreased by these degradation of the rubber. In this study, spring displacement in a vehicle was measured to make a profile in the simulation test performed with an acceleration sensor. In addition, acceleration level, rubber permanent deformation and hardness of the rubber were measured according to drive distance and vehicle model.

• Journal of KIISE
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• v.43 no.3
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• pp.389-397
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• 2016

In this paper, we propose a highway safety system that comprises a small number of central servers and smart mobile devices. To implement this system, we constructed a central server that collects GPS location information on cars, whose update messages are decreased via the car location estimation algorithm. The in-car mobile devices use the accelerometer sensors to detect hazardous situations; this information is updated to the central server that relays the information to the corresponding endangered cars via location-based unicast using LTE communication. To evaluate the proposed algorithm, we equipped a mobile device app on a real car and conducted real experiments in various environments such as city streets, rural areas, and highway roads. Furthermore, we conducted simulations to evaluate the propagation of danger information. Finally, we conducted simulated experiments to detect car collisions as well as exceptions, such as falling of the mobile device from the cradle.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3731-3735
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• 2015

This study reports the relationship between rollingstock weight and acceleration performance for HEMU-430X, the first electric multiple unit developed in Korea. While maintaining the consumed power, the total train weight was deliberately varied by 2%, by adding and removing weights, and the it was shown that the lighter train was found to have higher acceleration performance and hence better suited for maximum speed tests below the speed of 413km/h. According to the power consumption analysis based on the velocity data collected per 0.1 second, the balanced speed, when the traction force and air resistance become equal, was determined to be 419km/h for HEMU-430X, which is in agreement with tested result. It is expected that the analyses in this study will be utilized for the speed tests in the future.

• Information and Communications Magazine
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• v.33 no.6
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• pp.39-46
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• 2016

본고에서는 차량 내 운전자 제스처 인식을 위한 웨어러블 디바이스 플랫폼과 차량 시스템 모델을 소개한다. 특히 저가형 가속도, 자이로스코프 센서를 적용한 웨어러블 디바이스용 HW를 설계하고, 제스처 인식률을 높이기 위한 SW 시스템 및 알고리즘에 대해 설명한다. 운전 중 가장 많이 제어하는 편의 기능을 기준으로 제스처를 구분하고, 제스처 마다 발생하는 센서 값의 특징을 이용해 잡음에 강한 제스처 인식 시스템에 대해 설명한다. 마지막에 진행한 본 논문의 실험을 통해 본 고에서 설명한 제스처 인식 시스템이 잡음과 방향성을 갖는 동작인식에 강함을 확인할 수 있다.

• Journal of IKEEE
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• v.14 no.4
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• pp.324-331
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• 2010

본 논문에서는 무인자동차의 자율주행을 위한 알고리즘을 제시하고 3차원 그래픽 시뮬레이션을 통하여 안정성 기반 자율주행 알고리즘의 성능을 검증하고자 한다. 제안된 자율주행 알고리즘은 주변 인접 차량의 위치, 속도, 가속도, 주행 차로 정보를 바탕으로 자율주행 차량과의 충돌가능성 및 충돌예측시간을 계산하여 최적의 안정 주로를 선택하고 이러한 주행 차로에 대한 주행 궤적을 생성하여 추종토록 함으로써 자율주행이 이루어지도록 한다. 본 논문에서는 제안된 자율주행 알고리즘을 검증하기 위하여 3차원 그래픽 시뮬레이션 환경을 구축하였으며 다차로, 다차량 주행 환경에서 몇 가지 가상 도로 환경을 구축하여 시뮬레이션 하였고 자율주행 차량의주행 궤적을 인접 주행차량의 주행 궤적과 비교 확인함으로써 알고리즘의 타당성을 검증하였다. 시뮬레이션 결과 제시된 안정성 기반 자율주행 알고리즘은 다차로, 다차량 주행 환경에서 주변 차량과 충돌 없이 안정적인주행 성능을 보여주는 것을 확인할 수 있었다.