• Title/Summary/Keyword: 고속도로 주행차량

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A Study on Detection of Overloaded Vehicles at Highway Toll Gates Using Detection of Height Changes in Vehicle Cargo Boxes (차량 적재함의 높이 변화 감지를 이용한 고속도로 톨게이트 과적차량 검출에 관한 연구)

  • Gwang Lee;Bong-Keun Kim
    • Journal of Practical Engineering Education
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    • v.16 no.3_spc
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    • pp.391-399
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    • 2024
  • All highway toll gates in Korea use low-speed WIM(Weight-In-Motion) to block overloaded cargo vehicles from entering the main highway, but some cargo vehicle owners are illegally modifying vehicles to operate variable axles and evading crackdowns by manipulating the axles. In previous studies detect all tires of a running vehicle were detected to determine whether there is axle manipulation. However, because the vehicle entry area at the highway toll gate checkpoint is very narrow, there is a problem that it is realistically difficult to film all tires of the entering vehicle in one video frame. In this paper, we proposed a system that can determine whether the axle is being operated through changes in the height of the vehicle's cargo box rather than by detecting tires. To detect changes in the height of a cargo box, we propose a method to extract the representative line of the cargo box using Hough transform and then measure the change in height of the representative line to detect the change in height of the cargo box. In addition, we propose a method to detect changes in the vertical height of a cargo box by accumulating motion vectors of pixels within a certain area of the image using optical flow. And the two methods were compared and their advantages and disadvantages were analyzed and presented.

A Study on Vehicle Big Data-based Micro-scale Segment Speed Information Service for Future Traffic Environment Assistance (미래 교통환경 지원을 위한 차량 빅데이터 기반의 미시구간 속도정보 서비스 방안 연구)

  • Choi, Kanghyeok;Chong, Kyusoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.74-84
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    • 2022
  • Vehicle average speed information which measured at a point or a short section has a problem in that it cannot accurately provide the speed changes on an actual highway. In this study, segment separation method based on vehicle big data for accurate micro-speed estimation is proposed. In this study, to find the point where the speed deviation occurs using location-based individual vehicle big data, time and space mean speed functions were used. Next, points being changed micro-scale speed are classified through gradual segment separation based on geohash. By the comparative evaluation for the results, this study presents that the link-based speed is could not represent accurate speed for micro-scale segments.

Bus-only Lane and Traveling Vehicle's License Plate Number Recognition for Realizing V2I in C-ITS Environments (C-ITS 환경에서 V2I 실현을 위한 버스 전용 차선 및 주행 차량 번호판 인식)

  • Im, Changjae;Kim, Daewon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.11
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    • pp.87-104
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    • 2015
  • Currently the IoT (Internet of Things) environments and related technologies are being developed rapidly through the networks for connecting many intelligent objects. The IoT is providing artificial intelligent services combined with context recognition based knowledge and communication methods between human and objects and objects to objects. With the help of IoT technology, many research works are being developed using the C-ITS (Cooperative Intelligent Transport System) which uses road infrastructure and traveling vehicles as traffic control infrastructures and resources for improving and increasing driver's convenience and safety through two way communication such as bus-only lane and license plate recognition and road accidents, works ahead reports, which are eventually for advancing traffic effectiveness. In this paper, a system for deciding whether the traveling vehicle is possible or not to drive on bus-only lane in highway is researched using the lane and number plate recognition on the road in C-ITS traffic infrastructure environments. The number plates of vehicles on the straight ahead and sides are identified after the location of bus-only lane is discovered through the lane recognition method. Research results and experimental outcomes are presented which are supposed to be used by traffic management infrastructure and controlling system in future.

Design and Implementation of Eelectronic Toll Collection Service System Using Dedicated Short Range Communication (단거리 전용통신을 적용한 자동요금 정산 시스템의 설계와 구현)

  • 김휘영
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.877-884
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    • 2001
  • 본 논문에서는 고속도로와 유료도로의 톨게이트에 상습 정체지역으로 개선방안이 시급히 요구 되어진다. 이에 대해 차량속도를 향상시키며 평균차량 대기시간을 줄이는 새로운 요금정산 방법인 전자자동요금 징수시스템에 대해 기술하였다. 유로도로를 통과시 차량당 요금정산을 위해 평균대기 시간이 길어짐으로 인해 공해, 유류낭비 뿐만 아니라 과다한 물류비로 인해 국가적으로 손실이 엄청 크다. 이에 대해 기능이 향상되고 보안성이 뛰어난 Off-Line의 상거래 처리가 가능한, 비접촉식 IC 카드를 대상으로 게이트 리더기와 원격정보수집장치로 구성으로 설계 및 제작을 하였다. 기존의 방식보다 차량대기속도 및 평균주행속도가 15%에서 40% 가량 개선됨을 확인할 수가 있었다.

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An Estimation Methodology of Empirical Flow-density Diagram Using Vision Sensor-based Probe Vehicles' Time Headway Data (개별 차량의 비전 센서 기반 차두 시간 데이터를 활용한 경험적 교통류 모형 추정 방법론)

  • Kim, Dong Min;Shim, Jisup
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.17-32
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    • 2022
  • This study explored an approach to estimate a flow-density diagram(FD) on a link in highway traffic environment by utilizing probe vehicles' time headway records. To study empirical flow-density diagram(EFD), the probe vehicles with vision sensors were recruited for collecting driving records for nine months and the vision sensor data pre-processing and GIS-based map matching were implemented. Then, we examined the new EFDs to evaluate validity with reference diagrams which is derived from loop detection traffic data. The probability distributions of time headway and distance headway as well as standard deviation of flow and density were utilized in examination. As a result, it turned out that the main factors for estimation errors are the limited number of probe vehicles and bias of flow status. We finally suggest a method to improve the accuracy of EFD model.

Analysis of Driving and Environmental Impacts by Providing Warning Information in C-ITS Vehicles Using PVD (PVD를 활용한 C-ITS 차량 내 경고정보 제공에 따른 주행 및 환경영향 분석)

  • Yoonmi Kim;Ho Seon Kim;Kyeong-Pyo Kang;Seoung Bum Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.5
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    • pp.224-239
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    • 2023
  • C-ITS (Cooperative-Intelligent Transportation System) refers to user safety-oriented technology and systems that provide forward traffic situation information based on a two-way wireless communication technology between vehicles or between vehicles and infrastructure. Since the Daejeon-Sejong pilot project in 2016, the C-ITS infrastructure has been installed at various locations to provide C-ITS safety services through highway and local government demonstration projects. In this study, a methodology was developed to verify the effectiveness of the warning information using individual vehicle data collected through the Gwangju Metropolitan City C-ITS demonstration project. The analysis of the effectiveness was largely divided into driving behavior impact analysis and environmental analysis. Compliance analysis and driving safety evaluation were performed for the driving impact analysis. In addition, to supplement the inadequate collection of Probe Vehicle Data (PVD) collected during the C-ITS demonstration project, Digital Tacho Graph ( DTG ) data was additionally collected and used for effect analysis. The results of the compliance analysis showed that drivers displayed reduced driving behavior in response to warning information based on a sufficient number of valid samples. Also, the results of calculating and analyzing driving safety indicators, such as jerk and acceleration noise, revealed that driving safety was improved due to the provision of warning information.

Detection of a Land and Obstacles in Real Time Using Optimal Moving Windows (최적의 Moving Window를 사용한 실시간 차선 및 장애물 감지)

  • Choi, Sung-Yug;Lee, Jang-Myung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.3
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    • pp.57-69
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    • 2000
  • A moving window technique for detecting a lane and obstacles using the Images captured by a CCD camera attached in an automobile, is proposed in this paper To process the dynamic images in real time, there could be many constraints on the hardware To overcome these hardware constraints and to detect the lane and obstacles in real time, the optimal size of window IS determined based upon road conditions and automobile states. By utilizing the sub-Images inside the windows, detection of the lane and obstacles become possible m real time. For each Image frame, the moving windows are re-determined following the predicted directions based on Kalman filtering theory to Improve detection accuracy, as well as efficiency The feasibility of proposed algorithm IS demonstrated through the simulated experiments of highway driving.

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Decision Making Process for Wind Barrier Installation Considering Car Accident Risk (차량사고 위험도를 고려한 방풍벽 설치기준)

  • Kim, Dong-Hyun;Lee, Il-Keun;Kwon, Soon-Duck;Jo, Byung-Wan
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.23 no.1
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    • pp.17-26
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    • 2010
  • This study presents a decision making process for installation of wind barrier which is used to reduce the wind acting on running vehicle on expressway. At the first stage of this study, the lateral deviations of running vehicles under side winds were computed from the commercial softwares, CarSim and TruckSim, and then the critical wind speeds for car accident were evaluated from predefined risk index. To determine whether it is needed to install wind barrier or not, cost and benefit from wind barrier are calculated during lifetime. In obtaining car accidental risk, probabilistic distribution of wind speed, daily traffic volume, mixture ratio in the volume, and duration time for wind speed range are considered. It is recommended to install wind barrier if benefit from the barrier installation exceed construction cost. In the numerical examples, case studies were shown for risk and benefit calculation and main risky regions on Korean highway were all evaluated to identify the number of installation sites.

A Study on Efficient Vehicle Classification based on 3-Piezo Sensor AVC SYSTEM (3-Piezo 센서 기반 교통량 조사시스템의 차종분류방식에 대한 연구)

  • Cho, Sung-Yun;Lee, Dong-Gyu;Ruy, Seung-Ki
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.25-31
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    • 2013
  • The AVC System which has operated in Highways has two-piezo sensors. In this system the piezo sensors are installed on parally each other this configuration has a defect about diversion driving and sensor damage. In this reserch, 3-Sensor AVC algorithm has been proposed which is supported enhance accuracy of the vehicle classification rate compare with usual 2-Sensor systems. This algorithm is allowed to calculate wheel tread, wheel width. The third inclinded piezo sensor can detec twheel tread, wheel width using signal processing. 3-Sensor AVC has been installed in real highway and the outcome performance has been proof.

A Study on Dynamic Map Data Provision System for Automated Vehicle (자율주행을 위한 동적지도정보 제공에 관한 연구)

  • Yang, Inchul;Jeon, Woo Hoon;Lee, Hyang Mi
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.208-218
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    • 2017
  • This study aims to develop the Vehicle Local Dynamic Map (V-LDM) and demonstrate its performance for providing dynamic map data efficiently to the vehicle control module. Firstly, the concept of the in-vehicle LDM has been established and then the system has been carefully designed according to the international standards. The high-precision digital map embedded in LDM has been designed to incorporate the lane-level information of road network, and the Dynamic Map protocol (DM protocol) which is a message protocol including the road data with dynamic traffic event data has been defined. The performance test of the proposed system has been conducted in the uninterrupted road section of Kyungbu expressway, showing that both of the data size and the elapsed time to finish the process are almost linearly proportional to the length of target road. Finally, it is recommended that the length of target road for DM protocol be less than 250m.