• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3573-3578
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• 2015

Transition curves are located between curve and straight section in railway. These transition curves are vulnerable to the ride comfort of passengers and safety of a vehicle because lateral acceleration, lateral jerk and roll velocity increase as curvature and cant change along the transition curves. In this paper, ride comfort on the transition curve was calculated on the basis of lateral acceleration and roll velocity measurements. The evaluation of ride comfort was conducted according to the methodology specified in European Standard. The distribution characteristics of the comfort index were investigated for the korean conventional line from the evaluation results. The influence of the curve radius and the vehicle speed on the ride comfort index was also investigated. Finally, the relationship between ride comfort and the rate of cant changes on transition curves was analyzed.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.14 no.2
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• pp.31-35
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• 2000

An nonlinear observer-based longitudinal control law for vehicles is presented in this paper. It is assumed that for vehicle i knows only the distance between vehicle i and the preceding vehicle, i-1. An nonlinear state observer for vehicle I is developed to estimate the velocity and acceleration of the preceding vehicle, i-1. The communication of the position, velocity, and acceleration information is not used in the proposed method. It will be shown by mathematical analysis that the longitudinal control of vehicle can be implemented without an communication of the informations. It will be proven that the observation errors of the nonlinear states converge to zero asymptotically. To show the effectiveness of the proposed method, the simulation results are presented for the longitudinal control of the vehicle.

• International Journal of Highway Engineering
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• v.14 no.1
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• pp.103-109
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• 2012

Digital speedometer which is supposed to provide the basic data for analyzing human factors of drivers has a limitation for human behavior studies of drivers, because it records limited driving information including GPS velocities. Besides, Black Box, which is currently being actively commercialized in the market, records mostly vehicles' risky patterns rather than drivers' behaviors. As a result, it also shows a limit to analyze dangerous driving patterns. This study performed a risky driving study for human factor analysis. This study conducted before and after comparisons for real time warning study using a risky driving judgment device. The analysis was conducted based on Longitudinal acceleration, Lateral acceleration, and Yaw rate of vehicles.

• Transactions of the Korean Society of Automotive Engineers
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• v.10 no.6
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• pp.234-240
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• 2002

This paper treats the problem of estimating the longitudinal velocity of a braking vehicle using measurements from an accelerometer and wheel speed data from standard anti-lock braking wheel speed sensors. We develop and experimentally test three velocity estimation algorithms of increasing complexity. The algorithm that works the best gives peak errors of less than 3 percent even when the accelerometer signal is significantly biased.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2015.11a
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• pp.201-202
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• 2015

과거 연료소모량과 오염물질 배출량을 추정하기 위한 연구에서는 주로 속도변수를 이용하였으나, 속도의 변화에 따른 연료소모량 및 오염물질 배출량의 변화를 올바르게 반영하지 못하는 문제점이 대두되었다. 이러한 문제점을 극복할 수 있는 대안으로 평가받는 것이 가속도이다. 이처럼 가속도 변수가 중요하게 다루어지고 있으나 여전히 연료소모량이나 오염물질 배출량과 관련하여 급가속을 판단할 만한 기준이 모호하다. 이에 본 연구에서는 연료소모 및 $CO_2$ 배출량을 증가시켜 급가속으로 판단할 수 있는 가속도 임계치를 추정하고자 하였다. 가속도 임계치 및 모형추정을 위해 LPG 중형 승용차량에 장착한 차량 정보 저장장치로부터 가속 주행실험시 수집한 실시간 데이터를 수집 분석하였다. 가속의 특성상 동일한 가속도라 할지라도 정지상태인지 여부에 따라 동일한 가속도에 대한 연료소모량, $CO_2$ 배출량이 상이하게 나타난다. 따라서 실험을 통해 정지상태에서 가속시 관성을 극복하기 위한 동력이 요구되는 속도의 범위를 확인하고 이중 출발 가속주행시 임계가속도를 도출하였다. 가속 주행실험 결과 연료소모 및 $CO_2$ 배출 증가량이 급격히 증가되는 임계가속도를 도출하기 위해 CART 분석을 이용하였으며, 그 결과 정지 상태에서 가속하는 경우 $2.598m/s^2$, 의 가속도가 연료 및 $CO_2$ 배출량을 크게 증가시키는 임계 가속도인 것으로 추정되었다.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.835-838
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• 2009

본 논문은 환경공해의 주범인 자동차의 매연을 감소할 수 있는 방법에 대한 연구이다. 자동차 매연의 주요원인은 연료의 불완전 연소와 연료 자체의 특성때문이다. 따라서 본 논문에서는 가솔린/경유 차량을 CNG/LPG 차량으로 대체하고 CNG/LPG연료의 특성을 감안하여 연료의 공급과 분사량, 분사시간을 차량 ECU에서 보내지는 신호를 기본데이터로 차량의 가속과 감속 아이들 상태에서 차량을 적응적으로 최적화 할 수 있게 실시간으로 보정데이터를 계산한다. 본 논문의 결과로 기존의 구조변경차량의 출력에서 20%이상, 배기가스 에서 10% 이상의 향상되었다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.14 no.1
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• pp.77-85
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• 2001

본 연구에서는 차량하중에 의한 상시진동기록을 이용한 교량의 손상추정기법을 연구하였다. 즉, 차량진행 중 측정된 신호로부터 구조물의 모드특성을 구하고, 이를 이용하여 손상위치 및 손상정도를 추정하는 알고리즘을 제안하였다. 제안기법의 검증을 위하여 차량하중을 재하할 수 있는 모형교량을 제작하여 손상실험을 수행하였다. 차량진행 중 교량의 수직가속도를 계측하였으며, 측정된 가속도시계열로부터 random decrement(RD) 기법을 사용하여 자유진동신호를 구한 후, 이로부터 구조물의 모드특성을 추정하였다. 추정된 모드특성을 기초로 신경망기법을 적용하여 손상위치 및 손상정도를 추정하였으며, 추정된 결과는 실제 손상과 비교적 잘 일치하였다.

• International Journal of Highway Engineering
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• v.10 no.2
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• pp.135-143
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• 2008

According to the present highway design criteria, there are minimum standards which re ade from special design speeds. If some highways are satisfied the standards, it regards he highway as safety. In reality, however, most drivers drive a car at different speed compared with design speed. It is very dangerous for drivers especially at transition sections between curve and horizontal curve sections. Hence, this study calculated the rate of changing and horizontal acceleration at each section. Moreover, this study evaluated thesafety of design at curve transition sections and then calculated lateral acceleration and curve radii. This study found the minimum standards which are using as basic safety standards are not appropriate for measuring driver's safety.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.82-96
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• 2024

While analyzing traffic flow, speed, traffic volume, and density are important macroscopic indicators, and acceleration and spacing are the important microscopic indicators. The speed and traffic volume can be collected with the currently installed traffic information collection devices. However, acceleration and spacing data are necessary for safety and autonomous driving but cannot be collected using the current traffic information collection devices. 'You Look Only Once'(YOLO), an object recognition technique, has excellent accuracy and real-time performance and is used in various fields, including the transportation field. In this study, to measure acceleration and spacing using YOLO, we developed a model that measures acceleration and spacing through changes in vehicle speed at each interval and the differences in the travel time between vehicles by setting the measurement intervals closely. It was confirmed that the range of acceleration and spacing is different depending on the traffic characteristics of each point, and a comparative analysis was performed according to the reference distance and screen angle to secure the measurement rate. The measurement interval was 20m, and the closer the angle was to a right angle, the higher the measurement rate. These results will contribute to the analysis of safety by intersection and the domestic vehicle behavior model.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.3
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• pp.162-165
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• 2012

In this paper, the method of controlling velocity between joining vehicles at the point of bottleneck using information and communications technology of WAVE method based V2V and V2I are proposed for the driving with high fuel efficiency. Using the derived fuel-efficiency comparative analysis model, it was shown that the proposed method's fuel efficiency is better than traffic light method demanding periodically vehicle's stop. Also, this method provides the derivation algorithm for deceleration and acceleration for controlling velocity between vehicles approaching bottleneck area.