• 제목/요약/키워드: cross lane

검색결과 55건 처리시간 0.022초

2차로도로 효율성 제고를 위한 횡단면 설계 방안 (A New Cross Section Design Concept for Better Efficiency in Two-Lane Highways)

  • 심관보;최재성
    • 한국도로학회논문집
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    • 제8권2호
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    • pp.75-85
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    • 2006
  • 현재 우리나라 2차로도로 횡단면 설계기준은 설계속도별 최소 차로폭과 길어깨 기준은 있으나, 다양한 횡단면 구성안이 없어 전국이 획일적인 도로구조 형태를 보이고 있다. 따라서 본 연구에서는 2차로도로의 사고유형별 원인을 규명하고 그에 따른 교통운영 및 안전성 측면에서 횡단면 개선 방안을 수립하고, 평가척도를 선정하였으며, 평가과정을 통해 새로운 횡단면 설계기준을 제시하고 이를 검증하였다. 연구결과 같은 2차로도 도로폭 $9{\sim}12.9m$ 보다 $6{\sim}8.9m$ 도로가 사고율이 매우 높은 것으로 나타났으며, 대표적 사고유형들의 개선점은 차로 및 길어깨 확장으로 나타났다. 시뮬레이션 결과 도로폭 6$\sim$7m 는 교통량 1,000vph에서 급격한 지체 시간 상승을 보이고 있으나. 도로폭 10$\sim$11.5m도로는 1.200vph에서 약간의 변화를 보였다. 이 결과(pcu/일)를 국도와 지방도 일평균교통량(대/일)분포와 비교분석 하여 다양한 횡단면 기준을 제시하였다.

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Optical issues of OLED displays with a photo sensor for in-pixel optical feedback

  • Oepts, Wouter;Giraldo, Andrea;Lifka, Herbert;Fish, David;Young, Nigel
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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    • pp.968-971
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    • 2005
  • Amorphous silicon photo diodes incorporated in a polyLED stack are applied in in pixel opticalfeedback to compensate for polyLED degradation. Large quantum efficiencies and perfect linearity are demonstrated. The photosensitivity is in agreement with optical modeling of the stack. A new scheme for ambient and cross talk light cancellation is given.

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특징점 추적을 이용한 끼어들기 위반차량 검지 시스템 (Lane Violation Detection System Using Feature Tracking)

  • 이희신;이준환
    • 한국ITS학회 논문지
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    • 제8권2호
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    • pp.36-44
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    • 2009
  • 본 논문에서는 특징점 추적을 이용하여 끼어들기 위반차량을 검지할 수 있는 끼어들기 위반차량 검지 시스템을 제안한다. 제안된 끼어들기 위반차량 검지 시스템의 전체적인 알고리즘은 특징 추출, 추적대상 차량의 특징점 등록 및 추적, 끼어들기 위반차량 검지 등의 세 단계로 구성된다. 특징 추출 단계에서는 실시간 처리가 가능한 특징점 추출 알고리즘을 이용하여 입력 영상에서 특징점을 추출한다. 추출된 특징점들은 다시 추적대상 특징점을 선정하고 등록된 특징점을 정규화 된 교차 상관관계(normalized cross correlation:NCC)를 이용하여 추적한다. 마지막으로 추적된 특징점들의 정보를 이용하여 끼어들기 위반여부를 최종 검지한다. 제안한 시스템을 끼어들기 금지구간에서 취득한 영상을 사용하여 실험한 결과 정인식률 99.09%와 오류율 0.9%의 뛰어난 성능을 보였고 실시간처리가 가능한 초당 34.48프레임의 빠른 처리속도를 얻을 수 있었다.

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횡풍하의 차량 외란 추정을 이용한 차선 유지 조향 보조 제어기 설계 (Design of Lane Keeping Steering Assist Controller Using Vehicle Lateral Disturbance Estimation under Cross Wind)

  • 임형호;좌은혁;이경수
    • 자동차안전학회지
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    • 제12권3호
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    • pp.13-19
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    • 2020
  • This paper presents steering controller for unintended lane departure avoidance under crosswind using vehicle lateral disturbance estimation. Vehicles exposed to crosswind are more likely to deviate from lane, which can lead to accidents. To prevent this, a lateral disturbance estimator and steering controller for compensating disturbance have been proposed. The disturbance affecting lateral motion of the vehicle is estimated using Kalman filter, which is on the basis of the 2-DOF bicycle model and Electric Power Steering (EPS) module. A sliding mode controller is designed to avoid unintended the lane departure using the estimated disturbance. The controller is based on the 2-DOF bicycle model and the vision-based error dynamic model. A torque controller is used to provide appropriate assist torque to driver. The performance of proposed estimator and controller is evaluated via computer simulation using Matlab/Simulink.

국도상 교통사고 심각도에 영향을 미치는 횡단구성 요소 분석 (Analysis of Road Cross Section Component Affecting Traffic Accident Severity on National Highway)

  • 박재홍;윤덕근
    • 한국안전학회지
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    • 제32권6호
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    • pp.143-149
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    • 2017
  • According to traffic accidents statistics, the number of fatalities, injuries and the rate of increase of traffic accidents have been decreasing over last 5-years. The fatality rate is 1.9 for total accidents but the fatality rate for single vehicle accidents shows a 7.9, which is 4 times greater than the average for all accidents. Single vehicle accidents, usually occur as a vehicle impacts a fixed objects on the roadside as the vehicle runs-off from the road. However, few researches have been conducted considering the accident severity of single vehicle accidents which impact to the fixed objects on the road. The single vehicle accident is directly related to the composition of road cross section, (since it is the required the minimum width of a road for all run-off-the-road vehicles to recover or come to a safe stop). Therefore, this study analyzes the influence of road cross section on traffic accidents to find out the severity of single vehicle accident. To analyze the road elements which are related to the accident severity, the Ordered Probit Model was used. As variables, the element of road cross section such as the radius(m), vertical curve(%), cross sectional grade(%), road width(m). number of climbing lane, median, and curb, were used (as was the 3-years of accidents data). This study found out that cross slope(%), road width(m), and the number of climbing lane are related to the severity of accident. The result of this study could be expected to improve the road safety and to be used as the base data for further road safety research.

차선검출 기반 카메라 포즈 추정 (Lane Detection-based Camera Pose Estimation)

  • 정호기;서재규
    • 한국자동차공학회논문집
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    • 제23권5호
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    • pp.463-470
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    • 2015
  • When a camera installed on a vehicle is used, estimation of the camera pose including tilt, roll, and pan angle with respect to the world coordinate system is important to associate camera coordinates with world coordinates. Previous approaches using huge calibration patterns have the disadvantage that the calibration patterns are costly to make and install. And, previous approaches exploiting multiple vanishing points detected in a single image are not suitable for automotive applications as a scene where multiple vanishing points can be captured by a front camera is hard to find in our daily environment. This paper proposes a camera pose estimation method. It collects multiple images of lane markings while changing the horizontal angle with respect to the markings. One vanishing point, the cross point of the left and right lane marking, is detected in each image, and vanishing line is estimated based on the detected vanishing points. Finally, camera pose is estimated from the vanishing line. The proposed method is based on the fact that planar motion does not change the vanishing line of the plane and the normal vector of the plane can be estimated by the vanishing line. Experiments with large and small tilt and roll angle show that the proposed method outputs accurate estimation results respectively. It is verified by checking the lane markings are up right in the bird's eye view image when the pan angle is compensated.

2차로도로 평면선형 구간의 기하구조 개선대책별 효과평가 (An Analysis of Effectiveness of Geometric Improvement on Horizontal Curves in Two-Lane Highway)

  • 심관보;최재성
    • 한국도로학회논문집
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    • 제10권3호
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    • pp.33-46
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    • 2008
  • 국도와 지방도의 2차로도로에서 정면충돌사고, 교행시 측면접촉 고정물체 충돌 사고 비율이 매우 높게 나타나고 있다. 따라서 본 연구에서는 2차로도로의 횡단면과 평면선형에 대한 문제점과 개선점을 찾아내 2차로도로의 교통소통과 안전성을 개선하는 방향을 찾고자 하였다. 이를 위해 평면곡선 구간에 대한 안전성 평가지표를 선정하여, 선형개량, 확폭, 편경사의 효과를 평가하고, 사례연구를 통해 이를 검증하고 경제성을 분석하였다. 연구 결과, 2차로도로 평면선형구간의 안전성 평가지표로 "직선부 평균주행속도-곡선부 평균주행속도 차이(${\geq}10km/h$)"를 선정하였으며, 선형이 취약한 구간의 안전성 향상을 위해서는 선형개량이 가장 큰 효과를 거둘 수 있으며, 그 후에 편경사 개선과 확폭이 병행되어야 운영적 측면과 안전성 측면에서 큰 효과를 거둘 수 있음을 밝혀냈다. 또한 본 연구는 선형개량이 막연히 시설 및 간단한 개선보다 얼마나 좋은지를 정량적으로 제시하였다는 점에서 그 의의를 찾을 수 있다.

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자율주행 제어를 위한 향상된 주변환경 인식 알고리즘 (Improved Environment Recognition Algorithms for Autonomous Vehicle Control)

  • 배인환;김영후;김태경;오민호;주현수;김슬기;신관준;윤선재;이채진;임용섭;최경호
    • 자동차안전학회지
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    • 제11권2호
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    • pp.35-43
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    • 2019
  • This paper describes the improved environment recognition algorithms using some type of sensors like LiDAR and cameras. Additionally, integrated control algorithm for an autonomous vehicle is included. The integrated algorithm was based on C++ environment and supported the stability of the whole driving control algorithms. As to the improved vision algorithms, lane tracing and traffic sign recognition were mainly operated with three cameras. There are two algorithms developed for lane tracing, Improved Lane Tracing (ILT) and Histogram Extension (HIX). Two independent algorithms were combined into one algorithm - Enhanced Lane Tracing with Histogram Extension (ELIX). As for the enhanced traffic sign recognition algorithm, integrated Mutual Validation Procedure (MVP) by using three algorithms - Cascade, Reinforced DSIFT SVM and YOLO was developed. Comparing to the results for those, it is convincing that the precision of traffic sign recognition is substantially increased. With the LiDAR sensor, static and dynamic obstacle detection and obstacle avoidance algorithms were focused. Therefore, improved environment recognition algorithms, which are higher accuracy and faster processing speed than ones of the previous algorithms, were proposed. Moreover, by optimizing with integrated control algorithm, the memory issue of irregular system shutdown was prevented. Therefore, the maneuvering stability of the autonomous vehicle in severe environment were enhanced.

능동 안전장치의 한국 운전자 주행 평가 (Active Safety Features Evaluation with Korean Drivers)

  • 이화수;조재호;임종현;이홍국;장경진;유송민
    • 자동차안전학회지
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    • 제6권1호
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    • pp.27-32
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    • 2014
  • A study assessing driver acceptance level for various active safety systems against Korean drivers has been conducted. A 2013 Cadillac ATS model vehicle was tested along southern outskirt of Seoul including local roadway and interurban highway. Active safety systems included were FCA(Forward Collision Alert), LDW(Lane Departure Warning), SBZA(Side Blind Zone Alert), FRPA(Front/Rear Park Assist), RCTA(Rear Cross Traffic Alert), ACC(Adaptive Cruise Control), and AEB(Autonomous Emergency Braking). Participants experienced the FRPA, RCTA and AEB features in a controlled parking lot with a dummy vehicle and traffic cones as target obstacles. Remaining features have been tested on the accumulated stretched of 106 km long urban and interurban roadway. Series of questionnaires corresponding to each active safety systems have been conducted. Tentative results revealed that RCTA and SBZA systems received favourable ratings compared to the other ones.