• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.132-152
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• 2017

Network performance measure has been more and more important in transportation sector because traffic congestion has been steadily increasing in urban area. VKT is defined a sum of traveled distances of whole vehicles on the road network and one of the most important measure of effectiveness (MOE) for network performance measure. This paper aims to propose a methodology for estimating VKT and to apply it to calculate VKT in 6 major cities in Korea. We calculate VKT in 6 major cities by estimating traffic volumes on the uncollected road sections using regression kriging. It is expected that the proposed methodology can be applied various cities.

• Journal of Korean Society of Transportation
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• v.15 no.1
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• pp.129-156
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• 1997

8차로 고속도로에서 중앙분리대와 길 어깨에 의해 측방 여유폭이 제공되는 외측차 로(1.4차로)와 측방 여유폭이 제공되지 않는 내측차로 (2.3차로)에서 나타나는 운전자의 횡 방향 주행특성을 4개 지점에서 비디오 촬영하여 분석한 결과는 다음과 같다. (1) 차량의 횡 방향 주행궤적은 차로의 중심으로부터 주행방향의 좌측으로 이격된 주행 행태를 보이고 있 으며 이는 운전석의 위치에 의한 영향으로 판단된다. (2) 차량의 병행 주행시 외측 차로의 중심 이격 거리는 평균 0.38m이고 내측차로의 중심 이격 거리는 평균 0.34m로 나타났으며 T-test 겨로가 내측 차로와 외측 차로의 주행 이격 거리는 신뢰도 95%에서 상이한 것으로 나타났다. (3) 외측 차로의 주행궤적간 이격 거리는 평균 3.90m이고 내측 차로의 주행궤적 간 이격 거리는 평균 3.54m로서 내측 차로의 주행궤적간 이격 거리는 외측 차로의 주행궤 적간 이격 거리보다 0.36m 작다. 특히 내측 차로의 주행궤적간 이격 거리는 내측 차로간 차로 중심간 간격인 3.6m 보다 0.1m 작은 것으로 나타났다. (4) 내측차로 확장 대안으로 기존 도로폭 유지안 (3.5m, 3.7m, 3.5m)과 기존 도로폭 확장안 (3.6m, 3.7m, 3.7m, 3.6m)을 고려할 수 있으며 두 대안의 비교·분석결과 경제적 영향을 고려할 때 기존 도로폭 유지안이 우수한 것으로 분석되었다.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1071-1078
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• 2018

In this paper, we implemented community driving system for auto-vehicles as a preceding research of drone's community flight. We used ultrasonic sensors in order to measure the distance between vehicles, and designed each vehicles to maintain specific distance to each other, by making the following vehicle to stop moving when the distance is closed to less than 20cm, to start moving when the distance increases to more than 30cm. We have also designed vehicle to accelerate until the distance is closed to 30cm when they are apart for more than 40cm due to contingencies during driving.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.343-348
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• 2007

Development of autonomous vehicle system that use magnetic position meter research of intelligence transportation system is progressed worldwide active by fast increase of vehicles. Among them, research about autonomous of vehicles occupies field. And autonomous of vehicles is element that path recognition is basic. Existent magnetic base autonomous system analyzes three-dimensional data of magnet marker to 3 axises magnetic sensor and recognized route. But because using Magnetic Wire and Magnetic Position Meter in treatise that see, measure side lateral error and propose system that driving. And system that compare with system of autonomous vehicles and propose wishes to verify by hardware of that specification and simple algorithm through an experiment that autonomous is available.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.3-6
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• 2007

전 세계적으로 차량의 급속한 증가로 인해 지능형교통시스템에 대한 연구가 활발히 진행 되고있다. 그중 차량의 자율주행에 관한 연구가 한 분야를 차지한다. 그리고 차량의 자율주행은 경로 인식이 기본적인 요소이다. 기존의 경로인식은 3축 자계 센서로 자석마커의 3차원의 데이터를 분석하여 인식하였다. 그러나 본 논문에서는 Magnetic Wire와 자기거리계를 이용하여 측면 이탈거리를 계측하여 주행하는 시스템을 제안한다. 그리고 기존 자율주행 차량의 시스템과 비교하고 제안하는 시스템이 저사양의 하드웨어와 간단한 알고리즘으로 자율주행이 가능함을 실험을 통해 검증하고자 한다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.475-478
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• 2009

안개가 교통사고를 유발시키는 원인을 살펴보면 운전자의 시거와 밀접한 관련이 있다. 짙은 안개가 발생하게 되면 돌발상황이 발생하였을 때 도로를 주행하던 차량이 안전하게 정지하기 위해서 필요한 최소 정지거리가 증가하게 되나 안개로 인한 시정이 나빠지게 되어서 사고발생확률이 높은 것이다. 또한 안전한 시거가 확보되지 않기 때문에 단독사고 발생 후 뒤따르던 차량이 전방을 확인하지 못한 상황에서 연쇄 충돌하게 되어 사고가 대형화된다. 이에 본 연구에서는 IT기술인 RFID와 USN을 이용하여 안개로 인한 시정거리에 따라 도로에 있는 과속카메라가 도로주행 한계속도를 자기 스스로 판단하여 자동조절하게 만들고 변경된 한계속도를 그 도로를 이용하는 차량운전자 휴대폰에 문자로 전송해주고 도로전광판에서도 정확하게 주행속도정보를 볼 수 있게 한다. 그리하여 도로주행 한계속도를 어기는 차량에는 범칙금을 부과하게 만든다. 본 연구를 통해 안개에 대한 교통사고의 위험을 줄이고 사회적 경제적으로 이익이 되도록 하기위해 기상상태 변화에 따른 USN 기반의 도로주행 한계속도 지능적 조정 관리시스템을 제안하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1693-1700
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• 2012

Recently, the warning system to aid drivers for safe driving is being developed. The system estimates the distance between the driver's car and the car before it and informs him of safety distance. In this paper, we designed and implemented the collision warning system which detects the car in front on the actual road situation and measures the distance between the cars in order to detect the risk situation for collision and inform the driver of the risk of collision. First of all, using the forward-looking camera, it extracts the interest area corresponding to the road and the cars from the image photographed from the road. From the interest area, it extracts the object of the car in front through the analysis on the critical value of the shadow of the car in front and then alerts the driver about the risk of collision by calculating the distance from the car in front. Based on the results of detecting driving cars and measuring the distance between cars, the collision warning system was designed and realized. According to the result of applying it in the actual road situation and testing it, it showed very high accuracy; thus, it has been verified that it can cope with safe driving.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1307-1312
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• 2023

In this paper, we propose a hybrid camera system that combines cameras with different focal lengths and LiDAR (Light Detection and Ranging) sensors to address the core components of autonomous driving perception technology, which include object recognition and distance measurement. We extract objects within the scene and generate precise location and distance information for these objects using the proposed hybrid camera system. Initially, we employ the YOLO7 algorithm, widely utilized in the field of autonomous driving due to its advantages of fast computation, high accuracy, and real-time processing, for object recognition within the scene. Subsequently, we use multi-focal cameras to create depth maps to generate object positions and distance information. To enhance distance accuracy, we integrate the 3D distance information obtained from LiDAR sensors with the generated depth maps. In this paper, we introduce not only an autonomous vehicle platform capable of more accurately perceiving its surroundings during operation based on the proposed hybrid camera system, but also provide precise 3D spatial location and distance information. We anticipate that this will improve the safety and efficiency of autonomous vehicles.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.581-586
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• 2006

In this paper, describes ground detection method for removal earth field of magnet guidance system Magnetic guidance system is magnetic markers are installed just under the surface of roadway pavement and the magnetic fields generated these markers are detected by magnetic field sensor mounted of vehicles. vehicle is know lot lateral distance using magnetic field. But sensor is together measuring the magnetic field and earth field. It is operate error. Thus in this paper, proposed new method removing earth field or development experiment device via show the for practical and excellence.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.651-658
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• 2015

Recently, lots of research works have been actively focused on the self-driving car. In order to implement the self-driving car, lots of fusion techniques should be merged and, specially, it is noted that a vehicle-attached camera can provide several useful functionalities such as traffic lights recognition, pedestrian detection, stop-line recognition including simple driving records. Accordingly, as one of the efficient tools for the self-driving car implementation, this paper proposes a mathematical model for estimating effectively the road distance with a vehicle-attached black box camera. The proposed model can be effectively used for estimating the road distance by using the height of black box camera or the widths of the referenced road line and the observed road line. Through several simulations, it is shown that the proposed model is effective in estimating the road distance.