• 한국ITS학회 논문지
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• 제6권3호
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• pp.45-56
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• 2007

비디오를 이용한 차량 추적 자동화 기술은 차량속도 등의 정확한 교통량 측정을 위해 중요하다. 그러나 단일 카메라로 취득된 비디오를 이용한 차량추적의 경우 카메라의 유한한 시계(field of view)때문에 추적범위가 제약된다. 차량추적 범위를 넓히고 차량행태에 대한 보다 많은 정보를 얻기 위해서는 복수개의 카메라로 연속된 추적영역을 촬영하여 분석하는 방식을 이용할 수 있다. 본 논문에서는 규칙기반 차량추적 알고리즘을 적용한 두 대의 동기된 비디오 시??스에서 연속적으로 추적하는 방식을 제안한다. 제안된 방법에서는 영상분석을 통해 나타날 수 있는 거의 모든 경우를 규칙을 만들기 위해 고려되었으며, 칼만 필터를 이용하여 예측성능을 향상시켰다. 제안된 연속된 비디오에서의 차량추적 방법은 확장된 추적범위에서 차량의 순간속도, 차량의 개별행태 등에 보다 많은 정보를 취득하는데 성공적으로 활용될 수 있다.

• 자동차안전학회지
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• 제13권1호
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• pp.38-44
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• 2021

This study aimed to verify the criteria of the driver monitoring systems proposed by UNECE ACSF informal working group and the ministry of land, infrastructure, and transport of South Korea using driving behavior data. In order to verify the criteria, we investigated the safety regulations of driver monitoring systems in a conditional autonomous vehicle and found that the driver monitoring measures were related to eye blinks times, head movements, and eye closed duration. Thus, we took two different experimental data including real-world driving and simulator-based drowsy driving behaviors in previous studies. The real-world driving data were used for analyzing blink times and head movement intervals, and the drowsiness data were used for eye closed duration. In the real-world driving study, 52 drivers drove approximately 11.0 km of rural road (about 20 min), 7.9 km of urban road (about 25 min), and 20.8 km of highway (about 20 min). The results suggested that the appropriate number of blinks during the last 60 seconds was 4 times, and the head movement interval was 35 seconds. The results from drowsy driving data will be presented in another paper - part 2.

• 자동차안전학회지
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• 제13권1호
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• pp.45-50
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• 2021

This study aimed to verify the criteria of the driver monitoring systems proposed by UNECE ACSF informal working group and the ministry of land, infrastructure, and transport of South Korea using driving behavior data. In order to verify the criteria, we investigated the safety regulations of driver monitoring systems in a conditional autonomous vehicle and found that the driver monitoring measures were related to eye blinks times, head movements, and eye closed duration. Thus, we took two different experimental data including real-world driving and simulator-based drowsy driving behaviors in previous studies. The real-world driving data were used for analyzing blink times and head movement intervals, and the drowsiness data were used for eye closed duration. In the drowsy driving study, 10 drivers drove approximately 37 km of a monotonous highway (about 22 min) twice. The results suggested that the appropriate duration of eyes continuously closed was 4 seconds. The results from real-world driving data were presented in the other paper - part 1.

• 한국자동차공학회논문집
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• 제14권2호
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• pp.32-38
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• 2006

A vehicle adaptive cruise control strategy based on human drivers' driving characteristics has been investigated. Human drivers driving characteristics have been analyzed using vehicle test data obtained from 125 participants. The control algorithm has been designed to incorporate the driving characteristics of the human drivers and to achieve natural vehicle behavior of the controlled vehicle that would reduce the workload of the human driver. Vehicle following characteristics of the cruise controlled vehicle have been compared to real-world driving radar sensor data of human drivers using a validated vehicle simulator. and compare nominal cruise control and adaptive cruise control.

• International Journal of Automotive Technology
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• 제7권3호
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• pp.377-383
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• 2006

This paper presents evaluation and comparisons of manual driving and driving with intelligent cruise control(ICC) systems. An intelligent vehicle cruise control strategy has been designed to achieve natural vehicle behavior of the controlled vehicle that would make human driver feel comfortable and therefore would increase driver acceptance. The evaluation and comparisons of the ICC and manual driving have been conducted using real-world vehicle driving data and an ICC vehicle simulator.

• Journal of Electrical Engineering and Technology
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• 제5권1호
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• pp.129-139
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• 2010

To be satisfied with complex load condition of electric vehicle, fuzzy logic control (FLC) is applied to improve speed response and system robust performance of induction traction machine based on indirect rotor field orientation control. The proposed propulsion system consists of two induction motors (IM) that ensure the drive of the two back driving wheels of lightweight electric vehicle by means the vehicle used for passenger transportation. The electronic differential system ensures the robust control of the vehicle behavior on the road. It also allows controlling, independently, every driving wheel to turn at different speeds in any curve. Our electric vehicle fuzzy inference system control's simulated in Matlab SIMULINK environment, the results obtained present the efficiency and the robustness of the proposed control with good performances compared with the traditional PI speed control, the FLC induction traction machine presents not only good steady characteristic, but with no overshoot too.

• 한국철도학회:학술대회논문집
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• 한국철도학회 1998년도 추계학술대회 논문집
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• pp.512-521
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• 1998

The roll characteristic of railway vehicle is an important factor that affects the roll-over of vehicle and lateral ride comfort of passenger. Generally the roll characteristics of railway vehicle is defined by the term of roll-coefficient, s, which represents the ratio of incline or carbody to that of rail-cant. The limit values of roll coefficient recommended in UIC Bre 0.4 for coach without pantograph and 0.15 for vehicle with pantograph. The roll coefficient can be calculated by VAMPIRE that is the well-known commercial software for analysis of dynamic behavior of railway vehicle. The value of roll coefficient is effected by height of gravity center of carbody, stiffness of primary and secondary suspension and etc. The calculated roll-coefficient for electric locomotive and passenger coach is 0.12 and 0.77 respectively, The additional equipment such as anti-roll bar is considered in order to decrease roll-coefficient of passenger coach. In relation to roll characteristics, the analysis for roll-over due to wind is a1so performed. The results show that roll-characteristics affect the roll-over of vehicle.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2008년도 춘계학술대회 논문집
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• pp.275-276
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• 2008

• 한국자동차공학회논문집
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• 제19권2호
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• pp.1-11
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• 2011

The skid-steering method that applied a number of mobile robot currently is extremely effective in narrow area. But it contains several problems such as its natural properties, slip, occurred by different direction between vehicle's driving and wheel's rotary. Through this paper, suitable control algorithm of $6{\times}6$ skid steering wheeled vehicle and its driving methods are proposed by analyzing the behavior $6{\times}6$ skid-steered wheeled vehicle model designed by engineering analysis strategy. To do this, based on a behavior of designed driving system, required torque and other performance of in-wheel type motor system are considered, and finally control algorithm for each wheel is proposed and simulated using this model. To test the proposed vehicle system, driver model is designed using PID closed loop system and included in the total driving control algorithm. The Performance of designed vehicle model is verified by using DYC (Direct Yaw Control) cornering mode and slip mode control to follow the steering input which are essential to evaluate the driving performance of $6{\times}6$ vehicle. Proposed modeling strategy and control method will be implemented to the real $6{\times}6$ in-wheel drive type vehicle.

• 대한교통학회지
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• 제29권5호
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• pp.107-120
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• 2011

대기오염물질과 온실가스가 주는 폐해는 점차 심각한 수준으로 발전하고 있는 상황에서 자동차에 의한 배출가스가 대표적인 배출원의 하나로 손꼽히고 있다. 교통부문에 있어서는 교통운영전략 등에 의해 배출가스량을 억제 및 관리할 수 있는 방법론에 대한 연구가 필요한 상황이나 아직까지 차량의 운행행태 즉 가속, 감속, 정지 시 등에 따른 배출량을 산정할 수 있는 모형에 대한 연구는 미미한 수준이다. 본 연구에서는 신호교차로와 같은 도로를 주행하는 차량이 가속, 감속 정지 하면서 배출하는 배출가스량을 산정할 수 있는 모형을 구축하였으며 이를 위하여 차량 실험을 기반으로 배출량표를 작성하고 차량의 움직임을 운동학적 접근법으로 분석하여 모형을 구축하였다. 최종적으로는 미시적 시뮬레이터와 배출표를 이용하여 가장 현실적인 배출량 산정체계를 구축하여 모형을 검증, 평가하였다. 평가 결과 기존의 평균주행속도를 이용한 배출모형 보다 상대적으로 정확한 배출량을 산정하는 것으로 분석되었다.