• Title/Summary/Keyword: 지점속도

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High-speed scene change detection for video indexing (동영상 검색을 위한 고속 장면 전환 검출)

  • 나윤정;하명환;이상길
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.06b
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    • pp.109-114
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    • 1999
  • 동영상을 효율적으로 검색하기 위해서 동영상을 장면 단위로 분할하는 과정이 필요하다 이 논문에서는 동영상에서 장면이 전환되는 지점을 빠르게 검출하는 방법을 제안한다. 먼저 MPEG 압축 영상에 대하여 시간적 표본화를 통하여 추출된 압축 영역의 데이터를 사용하여 장면 전환의 후보 구간들을 정하고, 다음으로 이들 구간 안에서 각 프레임의 화소값을 얻고, 이를 사용하여 정확한 장면 전환 지점을 찾아낸다. 제안된 방법은 빠른 검출 속도와 함께 높은 정확성을 갖는다. 또한 카메라 플래시 때문에 장면 전환으로 잘못 검출되는 것을 방지할 수 있는 방법을 제안한다.

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Development of Operating Speed Prediction Models Reflecting Alignment Characteristics of the Upstream Road Sections at Four-Lane Rural Uninterrupted Flow Facility (상류부 선형특성을 반영한 지방부 왕복 4차로 연속류 도로의 주행속도 예측모형 개발)

  • Jo, Won-Beom;Kim, Yong-Seok;Choe, Jae-Seong;Kim, Sang-Yeop;Kim, Jin-Guk
    • Journal of Korean Society of Transportation
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    • v.28 no.5
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    • pp.141-153
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    • 2010
  • The study is about the development of operating speed prediction models aimed for an evaluation of design consistency of four lane rural roads. The main differences of this study relative to previous research are the method of data collection and classification of road alignments. The previous studies collected speed data at several points in the horizontal curve and approaching tangent. This method of collection is based on the assumption that acceleration and deceleration only occurs at horizontal tangents and the speed is kept constant at horizontal curves. However, this assumption leads to an unreliable speed estimation, so drivers' behavior is not well represented. Contrary to the previous approach, speed data were collected with one and data analysis using a speed profile is made for data selection before building final models. A total of six speed prediction models were made according to the combination of horizontal and vertical alignments. The study predicts that the speed data analysis and selection for model building employed in this study can improve the prediction accuracy of models and be useful to analyze drivers' speed behavior in a more detailed way. Furthermore, it is expected that the operating speed prediction models can help complement the current design-speed-based guidelines, so more benefits to drivers as real road users, rather than engineers or decision makers, can be achieved.

A Study on the Methodology for Analyzing the Effectiveness of Traffic Safety Facilities Using Drone Images (드론 영상기반 교통안전시설 효과분석 방법론 연구)

  • Yong Woo Park;Yang Jung Kim;Shin Hyoung Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.5
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    • pp.74-91
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    • 2023
  • Several that analyzed the effectiveness of traffic safety facilities a method of comparing changes in the number of accidents, accident severity, speed through traffic accident data before and after installation or speed data collected from vehicle detection systems (VDS). , when traffic accident data is used, it takes a long time to collect because must be collected for at least one year before and after installation. , the road environment may change during this period, such as the addition of other traffic safety facilities in addition to the facilities to be analyzed. , the location of the VDSs for speed data is often different from the location where analysis is required, and there is a problem in that the investigators are exposed to the risk of traffic accident during on-site investigation. Therefore, this study a case study by establishing a methodology to determine effectiveness video images with a drone, extracting data using a program, and comparing vehicle driving speeds before and after speed reduction facilities. Vehicle speed surveys using drones are much safer than observational surveys conducted on highways and have the advantage of tracking speed changes along the vehicle, it is expected that they will be used for various traffic surveys in the future.

A Traffic Simulation Model Verification Method Using GPS Equipment (GPS를 활용한 교통 시뮬레이션 모형 검증)

  • Hu, Hyejung;Baek, Jongdae;Han, Sangjin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.5
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    • pp.62-69
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    • 2012
  • Traffic simulation models have been used for assessing various transportation strategies. Through comparing results from a simulation model and real field data, researchers try to show how close the model can reproduce the real world traffic. This model verification step is one of the most essential tasks in modeling procedure. Traffic counts and speeds have been frequently used for the verification or validation. Authors modeled severe PM peak bottleneck situation on the I-40 corridor in Raleigh, North Carolina using DYNASMART-P, a mesoscopic traffic simulation tool and verified the model. NCDOT has Traffic Information Management System which has archive capability for the traffic speeds on the I-40 corridor. However, the authors selected travel time as the field measure for model verification and collected the data using a GPS equipment because the speed data from NCDOT speed detectors are spot speeds which are not appropriate for comparison with link average speed from the simulation model. This paper describes the GPS field data collection procedure, the model verification method, and the results.

Development of VSL Control Algorithms for Various Traffic Conditions in Tunnels (교통상황별 터널부 VSL 표출제어 알고리즘 개발)

  • Lee, Soo-Yang;Lee, Sang-Soo;Lee, Choul-ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.3
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    • pp.84-94
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    • 2019
  • This paper developed the VSL control algorithms for various traffic conditions in tunnels. Various algorithms determining control speed, buffer speed, and display time were suggested in order to apply three gantry locations. The algorithms were evaluated by constructing simulation environments using python and VISSIM Com-Interface. Results show that speed difference between congested flow and normal flow was 50 km/h without algorithm application, but the difference was reduced to 20 km/h with algorithm application. In addition, the length of congested region in the exit section of the tunnel was also reduced from 800m to 300m with algorithm application. It is expected that the traffic accidents in tunnels may be reduced since the average and standard deviation of the speed are greatly reduced after applying the algorithms suggested.

A Study on Underwater Acoustic Characteristics by Vegetation in River (하천 식생에 따른 수중음향 분석)

  • Gu, Jung-Eun;Jung, Sang Hwa;Kang, Joongu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.522-522
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    • 2017
  • 하천에서 식생은 하도내 흐름저항과 항력을 증가시켜 유속과 유사이동을 감소시킨다. 유속의 감소로 인해 유사가 퇴적되어 사주 발생이 증가하며 이는 하도 지형변화의 중요한 요인이 된다. 하천내 식생은 하천생물의 서식과 밀접한 관련이 있는 물리적인 서식환경을 변화시키게 된다. 이러한 물리적인 서식환경 변화는 수중음향으로 표현되는 하천의 음환경(Soundscape) 변화로 연결된다. 본 연구는 하천 식생대에서의 수중 음향변화를 식생유무, 수온, 수심에 따라 분석하고 수리학적 특성과의 상관관계를 파악하고자 한다. 실규모 하천 수로에 식생 38 주/$m^2$를 식재하고 1 m정도 성장시킨 후 식생을 완전 침수시켜 $3.2m^3/s$의 유량을 공급하여 유속의 변화와 수중음향을 측정하였다. 오후시간대와 새벽시간대를 이용하여 수온이 다른 조건에서 측정하였고, 수심은 표면 3 cm, 40 cm, 80 cm 깊이에서 각각 측정하였다. 측정지점은 식생구간의 상류지점(A), 식생구간(B), 식생구간의 하류지점(C) 세 곳을 선정하였고, 유속은 micro-ADV, 수중 음향은 Hydrophone을 사용하여 5분간 측정하였다. 측정 주파수 spectrum은 1/3 Octave band로 처리하여 음압을 비교분석하였다. 주파수에 따른 음압을 분석한 결과 측정지점에 관계없이 주로 125 Hz, 315 Hz에서 높게 나타났다. 수심에 따른 음향을 분석한 결과 식생이 없는 상류(A)지점에서는 수중음향의 차이가 크게 나타났으며, 식생지점(B)과 식생이 없는 하류(C)지점에서는 수중음향이 유사하게 나타났다. 이는 식생에 의한 유속의 저하로 인해 흐름이 안정화되어 나타나는 현상으로 판단된다. 수온에 따라서는 식생구간(B)과 하류(C)지점에서 대체로 큰 차이를 보이지 않았으나 상류(A)지점에서는 수온이 높을 때 음압이 더 크게 나타났다. 이는 온도가 높을수록 소리의 전달속도가 더 빨라지기 때문으로 판단된다. 이처럼 식생의 유무와 수심, 온도에 따라 하천의 수리학적 특성이 달라지고 이에 따른 수중음향도 달라지므로 하천의 물리적 서식환경을 평가하기 위한 인자로 수중음향을 활용할 수 있을 것으로 사료된다.

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Development of Integrated Turbidity model for Deacheong Reservoir and Downstream river. (대청호와 하류하천 통합 탁수 예측 모델 개발)

  • Jung, Yong-Rak;Chung, Se-Woong;Shin, Sang-Il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1393-1397
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    • 2008
  • 본 연구의 목적은 대청호와 하류 하천을 연계하여 연속적으로 부유물질의 이송, 확산, 침강과정을 해석 할 수 있는 통합 탁수 모델을 구축하는데 있다. 저수지와 하천을 연속적으로 모의하기 위해서 횡방향 평균 2차원 수리 수질 모델인 CE-QUAL-W2 (W2)를 사용하였다. 그러나 W2모델은 탁도를 모의 할 수 있는 알고리즘이 없기 때문에 모델 경계지점에서의 탁도-부유사(SS) 농도 상관관계를 조사하여 연속 측정된 탁도를 SS로 변환하였고, SS를 입자크기에 따라 3개의 그룹으로 나누어 각각의 침강속도가 다르게 모의하였다. 모의된 SS는 다시 저수지내 관측지점의 탁도-SS 상관관계를 이용해 탁도로 변환하여 실측값과 비교하였고, 하류 하천에서 취수하는 부여 취수장의 탁도-SS 상관관계를 이용하여 취수 원수의 탁도와 모의값을 비교하였다. 하천의 탁도는 실측값이 없는 관계로 모의된 SS를 그대로 하천의 SS 실측값과 비교하였다. 연구결과 통합모델은 저수지내에서 탁도의 수심별 농도를 잘 예측하였고 입자 크기별 침강속도를 고려한 결과 기존의 단일 SS 침강속도 모델에 비해 탁도 예측 성능이 향상되었다. 모델은 강우시 하천에서 급증하는 SS의 농도 변화를 잘 예측하였고, 금강 하류에 위치한 부여 취수장의 일별 취수 원수의 탁도 시계열 변화와도 비교적 잘 일치하였다.

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Velocity Loss Due to Atmospheric Drag and Orbit Lifetime Estimation (항력에 의한 속도 손실 및 궤도 수명 예측)

  • Park, Chang-Su;Jo, Sang-Beom;No, Ung-Rae
    • Aerospace Engineering and Technology
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    • v.5 no.2
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    • pp.205-212
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    • 2006
  • Atmospheric drag is the most significant factor effecting the low Earth satellites under the altitude of 800 km Although the atmospheric density of the low Earth orbit is very low compared to that of the sea level, the accumulated effect of the atmospheric drag slowly lowers the satellite velocity at the perigee. Decrease in velocity at perigee directly causes decrease in altitude at apogee which changes the eccentricity of the orbit. The orbit finally reaches a circular orbit before reentering the Earth. This paper states the methods of calculating the atmospheric drag and the lifetime of the satellite. The lifetime of the kick motor and the satellites which will be used on KSLV-L are calculated by Satellite Tool Kit.

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Development of a Driver Safety Information Service Model Using Point Detectors at Signalized Intersections (지점검지자료 기반 신호교차로 운전자 안전서비스 개발)

  • Jang, Jeong-A;Choe, Gi-Ju;Mun, Yeong-Jun
    • Journal of Korean Society of Transportation
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    • v.27 no.5
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    • pp.113-124
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    • 2009
  • This paper suggests a new approach for providing information for driver safety at signalized intersections. Particularly dangerous situations at signalized intersections such as red-light violations, accelerating through yellow intervals, red-light running, and stopping abruptly due to the dilemma zone problem are considered in this study. This paper presents the development of a dangerous vehicle determination algorithm by collecting real-time vehicle speeds and times from multiple point detectors when the vehicles are traveling during phase-change. For an evaluation of this algorithm, VISSIM is used to perform a real-time multiple detection situation by changing the input data such as various inflow-volume, design speed change, driver perception, and response time. As a result the correct-classification rate is approximately 98.5% and the prediction rate of the algorithm is approximately 88.5%. This paper shows the sensitivity results by changing the input data. This result showed that the new approach can be used to improve safety for signalized intersections.

Velocity Control Method of AGV for Heavy Material Transport (중량물 운송을 위한 AGV의 주행 제어 방법)

  • Woo, Seung-Beom;Jung, Kyung-Hoon;Kim, Jung-Min;Park, Jung-Je;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.394-399
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    • 2010
  • This paper presents to study the velocity control method of AGV for heavy material transport. Generally, in the industries, fork-type AGV using path tracking requires high stop-precision with performing operations for 20 hours. To obtain the high stop-precision of AGV for heavy material transport, AGV requires driving technic during low speed. Hence, we use encoder with keeping the speed of AGV and study the velocity control method to improve for the stop-precision of AGV. To experiment the proposed the velocity control method, we performed the experiments engaging the pallet located 4m in front of the AGV. In the experimental result, the maximum error of stop-precision was less than 18.64mm, and we verified that the proposed method is able to control stable.