• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.47-61
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• 2000

차량추종모형은 차선변경모형과 함께 미시적 시뮬레이션 모형의 핵심 모형으로서 정확한 차량추종모형의 적용은 시뮬레이션 모형 분석결과의 신뢰성에 영향을 미친다. 기존의 차량추종모형은 대부분 가속상황과 감속상황에 동일한 모형을 적용하거나 자극부문과 민감도 부분은 거의 동일한 형태를 취하고 있으며, 가상자료를 토대로 모형이 개발되었다. 본 연구의 목적은 첫째, 모형을 추정하기 위한 연구체계를 구성하고, 둘째, 이러한 연구체계를 이용하여 신호교차로 미시적 시뮬레이션에 직접 적용이 가능한 차량추종모형을 정립하는 데 있다. 본연구에서는 이를 위해서 신호교차로에서 미시적 실측자료를 수집하였으며, 수집된 자료에서 통계적 기법을 통해서 모형 추정에 적합한 자료를 구축하였다. 현장에서 실측된 이산적인 원시자료는 차량추종모형 추정에 직접 이용할 수 없다. 따라서, 이산적 원시자료를 모형추정에 적합한 자료로 구성하기 위하여 비선형 곡선적합 알고리즘을 이용하여 연속적인 궤적함수를 구성하였고, 이를 통해서 모형추정에 필요한 선두차량과 후행차량의 현재시점과 반응시간 이후 시점에서의 위치, 순간 가속도와 순간속도 등을 도출하였다. 본 연구에서는 차량추종상황을 가속상황, 감속상황, 출발상황, 그리고 정지상황으로 구분하여 차량추종모형을 구축하였다. 가속상황과 감속상황에 대해서는 실측자료를 이용하여 모형을 추정하였으며, 출발상황과 정지상황에 대해서는 추정된 가/감속상황의 모형을 바탕으로 출발상황과 정지상황에서의 차량행태를 설명할 수 있는 모형을 구축하였다 또한, 민감도와 자극부분을 새롭게 정의하여 각 상황별로 미시적 실측자료를 이용하여 모형을 추정하였다. 이렇게 추정된 모형들 중에서 통계적 기법과 실측치와의 비교를 통해서 가장 적합한 모형을 선택하였다. 선택된 모형은 통계적 검정, 가상자료 그리고 실측치와의 비교를 통해서 분석하였으며, 분석결과 구축모형의 적용성은 우수한 것으로 분석되었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.10
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• pp.1879-1885
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• 2017

This paper discusses the trajectory tracking system of unmanned ground vehicles based on predictive control. Because the unmanned ground vehicles can not satisfactorily complete the path tracking task, highly efficient and stable trajectory control system is necessary for unmanned ground vehicle to be realized intelligent and practical. According to the characteristics of unmanned vehicle, this paper built the kinematics tracking models firstly. Then studied algorithm solution with the tools of the optimal stability analysis method and proposed a tracking control method based on the model predictive control. The controller used a kinematics-based prediction model to calculate the predictive error. This controller helps the unmanned vehicle drive along the target trajectory quickly and accurately. The designed control strategy has the true robustness, simplicity as well as generality for kinematics model of the unmanned vehicle. Furthermore, the computer Simulink/Carsim results verified the validity of the proposed control method.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1219-1221
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• 2008

본 논문에서는 막대한 양의 위치 정보가 축적되는 차량 텔레매틱스 시스템을 대상으로 이동 이력 데이터에 대한 효과적인 분석을 위하여 이동 객체들의 궤적과 위치 변화를 시간적인 흐름에 따라 디지털 맵에 표현하는 인터페이스를 설계하고 구현하였다. 분석기 모듈은 쓰레드로 구현되어 윈도우즈 운영체제의 쓰레드 제어함수에 의해 분석 모듈도 같이 수행이 제어될 수 있으며 상용 디지털 맵인 알맵에 기반하여 이의 API에 따라 지도 인터페이스를 구현하였다. 또한 도로상에서의 분석을 위해 도로 네트워크 상에서의 표현도 구현하였다. 본 논문에서 구현된 분석 인터페이스의 구조는 쓰레드, 디지털 맵 등에 대한 요소들을 적절히 결합하여 새로운 Add-in 분석 기능을 추가할 수 있도록 한다.

• Journal of Korean Society of Transportation
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• v.35 no.5
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• pp.423-433
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• 2017

During recent 5 years, it was recorded that 20% of total accident frequency and 30% of total number of death have been occurred due to drowsy driving. Drowsy driving accident is result from the loss of driving ability due to driver's accumulated fatigue. Continuous driving time can be measured as a surrogate variable to quantify the level of fatigue. The main purpose of this research is to investigate statistical correlation between the proportion of continuous driving vehicle (more than 2 hours) and the number of drowsy accidents. To carry this out, continuous driving time was measured using GPS route-guidance trajectory data. Also, accident frequency, traffic volume and segment length were collected to estimate safety performance function (SPF) for Jungbunearuk expressway in Korea. Through various types of estimated SPFs, statistical correlation was analyzed based on estimated statistical indices. This research can provide theoretical background for enforcement to regulate commercial vehicle driver's continuous driving time. In addition, throughout the trajectory data expansion, it is expected that strategy for anti-drowsy driving facilities installation can be established based on the suggested methodology.

• International Journal of Highway Engineering
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• v.9 no.4
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• pp.21-32
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• 2007

The linear traffic model(Vertical queueing model) that is adopted widely in traffic flow estimation assumes that all vehicles have the identical motion before joining a queue at the stop-line. Thus, a queue is supposed to form vertically not horizontally. Due to the simplicity of this model, the departure time of the leading vehicle is assumed to coincide with the start of effective green time. Thus, the delay estimates given by the Vertical queueing model is not always realistic. This paper explores a microscopic traffic model(a Kinematic Car-following model at Signalised intersections: a KCS traffic model) based on the one dimensional Kinematic equations in physics. A comparative evaluation in delay and sensitivity of delay difference between the KCS traffic model and the previously known Vertical queueing model is presented. The results show that the delay estimate in the Vertical queueing model is always greater than or equal to the KCS traffic model; however, the sensitivity of delay in the KCS traffic model is greater than the Vertical queueing model.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.111-120
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• 2007

More accurate vehicle trajectory data are now readily available through Differential Global Positioning Systems (DGPS). A variety of research opportunities emerge with utilization of such high resolution traffic data. A novel approach of this study is to explore drivers' responsive behavior to variable message signs (VMS) by using individual vehicle trajectories extracted from in-vehicle DGPS data. Responsive characteristics of drivers traveling on urban freeways, which can be represented by speeds and acceleration rates, under the provision of real-time traffic information through VMS are statistically investigated. In addition to conducting an ANOVA test, probability density functions of acceleration rates were estimated. The findings of this study can be used to understand the impact of drivers' workload when providing VMS messages on traffic flow patterns. Furthermore, results can be important fundamentals to assist in conducting more realistic traffic simulations.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.261-277
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• 2017

This study defines influencing sections as the part of the road section where passing vehicles are traveling with the lower speed compared to speed limit due to speed humps. The influencing section was divided into 3 parts; influencing section before the speed hump, interval section, and influencing section after the speed hump. This analysis focused on the changes of each part depending on installation types, vehicle types, and daytime or nighttime. For the interval section, especially, the ratio of distance traveled with lower speed than speed limit to interval section is defined as effective influencing section ratio to be analyzed. Vehicle speed profiles were collected with a speed gun to extract influencing section lengths. The survival analysis was applied and estimated survival functions are compared with each other by several statistical tests. As a consequence, the average length of influencing section on the 50m sequential speed humps was 75.3% longer during the deceleration than that of isolated speed hump, and 18.9% during the acceleration. The effective influencing section ratio for the 30m and 50m sequential speed humps had a small difference of 81.0% and 76.0% while the absolute values of the section that passing speed were less than the speed limit were longer on 50m sequential speed humps, each being 24.3m and 38.0m. Using the log rank test, it was evident that sequential speed humps were more effective to increase the length of influencing sections compared to the isolated speed hump. Vehicle type was the strong factor for influencing section length on the isolated speed hump, but daytime or nighttime was not the effective one. This research result can be used for improving the efficiency selecting the installation point of speed humps for road safety and estimating the standard of the distance between sequential speed humps.