• Journal of KSNVE
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• v.7 no.1
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• pp.143-152
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• 1997

This paper introduces experimental results of the ride qulaity characteristics of automotive seats fixed on the vibration table that is noving simultaneously to the three-axis in a similar way to the real running condition. Vibration experiment was carried out for five different automotive seats and four Korean individuals. The assessment of the ride quality characteristics for each seat and indiviual was made not only from the analysis of vibration measurements but also from the evaluation of weighied vibration signals, which were obtained using the frequency weighting function and the multiplication factor dependent on the position and axis of vibration exposure to wehole-body. The usefulness of those assessment results in analysis of the ride quality of seats is discussed and their limitation is also pointed out in this paper.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.2
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• pp.49-56
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• 2001

This paper describes the improvement of passenger's comfort by analyzing the debasement of early adapted ATO control pattern. First we give the characteristics of ATO controller, principle of running control, distance & velocity calculation methods used mainly in INCHEON subway UNE 1 and then analyze the ATO control pattern. For early control pattern, we reviewed it in view of passenger's comfort while keeping the track conditions. In order to achieve the improvement of passenger's comfort we propose the modification of early ATO control pattern based on JERX characteristics. Simulation and application test are performed to prove the effectiveness of modified ATO control pattern.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.146-149
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• 2014

최근 자동차 산업과 IT 기술의 융합이 활발해지면서 스마트카, 자율주행 자동차(무인 자동차)와 같은 지능형 자동차 개발이 활발히 진행되고 지능형 자동차의 비전 기반 기술개발도 활발히 진행되고 있다. 고속도로와 같이 포장된 도로나 자갈길과 같은 비포장 도로에서도 운전자의 승차감을 고려한 능동적 안전시스템과 안정적인 자율주행 자동차의 주행능력을 보장하는 기술들 중 도로 유형을 판단하는 것이 중요 요소 중 하나이다. 따라서 본 논문에서는 가중치 기반 클러스터링 기술을 이용하여 도로표면 유형을 분류하는 알고리즘을 제안한다. 아스팔트, 자갈길, 흙길, 눈길의 도로표면 영상 데이터를 히스토그램의 분포도와 최고점 위치, 에지 영상의 에지량, 채도성분을 이용하여 특징값을 추출하고 클러스터를 구성한다. 분류할 입력 도로표면 영상에 대해 특징값을 분석한 후 탐색범위 내 선택된 각 클러스터의 벡터와의 거리를 측정하여 가중치를 계산하고 가중치가 높은 클러스터를 분류하여 입력 영상에 대한 도로표면을 결정한다. 실험결과 제안하는 방법이 각 도로표면 영상의 특징값과 이를 이용한 가중치만을 이용하여 약 91.25%의 정확도로 도로의 표면을 분류해 내는 것을 볼 수 있었다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.14 no.2
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• pp.229-239
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• 1996

for shortening of running time on existing line, speed up railways feel strongly the necessity of it, for fully realizing a role of transportation system, for human life style is high. and increasing of time value. Especially curved lines zone have crucial effects on the speed of train, in case the shortening of running time, it is thought, speed up in curved lines zone, considering a character of route alignment in korea, we obtain saving time using lateral force index for safety running of train and comfortable ride of passengers. The results of this study show that all curved zone improvements for the shortening of the train running time more efficiently than extension of transition curve.

• Journal of the Korean Society for Railway
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• v.12 no.6
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• pp.909-914
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• 2009

A suspension is the most prior apparatus to decide vehicle's running safety and ride comfort, also the suspension stiffness is the most important parameter for the designing of the vehicle. Providing the strong stiffness with the primary suspension in order to improve the running safety with high speed, but it causes a problem with a curve running performance of a railway vehicle. Therefore, many studies deal with the optimal value of suspension stiffness. In this paper, we aim to optimize the suspension system to improve running safety by varying stiffness values of railway vehicle suspension. We have proceeded an analysis by design variables which are position, length, width, stiffness and damping coefficients of primary and secondary suspension to optimize the suspension characteristics. As a result of the optimization, we verified that the derailment coefficients of inside and outside of wheel are decreased in comparison with initial model.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.1
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• pp.55-63
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• 2021

The roughness of the road is an important factor directly connected to the ride comfort, and is an evaluation item for functional evaluation and pavement quality management of the road. In this study, data on the road surface were acquired using the latest 3D geospatial information construction technology of ground LiDAR, drone photogrammetry, and drone LiDAR, and the accuracy and roughness of each method were analyzed. As a result of the accuracy evaluation, the average accuracy of terrestrial LiDAR were 0.039m, 0.042m, 0.039m RMSE in X, Y, Z direction, and drone photogrammetry and drone LiDAR represent 0.072~0.076m, 0.060~0.068m RMSE, respectively. In addition, for the roughness analysis, the longitudinal and lateral slopes of the target section were extracted from the 3D geospatial information constructed by each method, and the design values were compared. As a result of roughness analysis, the ground LiDAR showed the same slope as the design value, and the drone photogrammetry and drone LiDAR showed a slight difference from the design value. Research is needed to improve the accuracy of drone photogrammetry and drone LiDAR in measurement fields such as road roughness analysis. If the usability through improved accuracy can be presented in the future, the time required for acquisition can be greatly reduced by utilizing drone photogrammetry and drone LiDAR, so it will be possible to improve related work efficiency.

• International Journal of Highway Engineering
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• v.5 no.1 s.15
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• pp.11-18
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• 2003

Road roughness, as the key factor influencing not only drivers' ride quality and safety but also pavement deterioration, is one of the most important pavement performance indicator to be evaluated by users' subjective assessment. For this reason, a specific number of the pavement roughness has been adopted to monitor the condition of a road for pavement management systems and to evaluate the quality of newly constructed sections, however, none of the unified methodology was internationally accepted. In Korea highway network, road roughness has been used mainly to evaluate newly placed pavement by using 7.6m CP (California Profile meter) to calculate PrI (Profile Index). But this instrument is manually operated to measure road profiles by traffic closure and their interpretation depends on personal bias. Therefore, problems arisen from the manually operated instrument will be overcome by using the APL (Longitudinal Profile Analyzer) which can be operated in the speed of 80km per hour. A study was conducted to correlate the relation from both concrete and asphalt pavement between IRI (measured by APL) and PrI (measured by 7.6m CP). Test results showed that there was a good correlation between IRI and PrI.