• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.234-234
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• 2017

국내 지형의 대부분을 차지하고 있는 산지 사면에서 토양수분량 측정은 물순환을 이해하는데 중요하다. 본 연구는 국토교통부의 기초수문자료 구축사업의 일환으로 수행되었으며, TDR(Time Domain Reflectometry, TDR)방식의 장비를 이용하여 2시간 간격으로 토양이 동결되어 있는 기간을 제외한 2016년 3월 중순부터 12월초까지 측정을 수행하였다. 관측지점은 설마천 유역 내에 위치한 경기도 파주시 적성면의 감악산 범륜사 주변 산지 사면과, 청미천 유역 내에 위치한 충청북도 음성군 수레의산 산지 사면에 위치하고 있다. 각각의 관측소에서 측정된 토양수분량 자료는 분포 특성을 파악하기 위해 토양수분량의 통계분석(평균, 표준편차)을 수행하였다. 2016년 토양수분량 관측소 운영기간 동안에는 2014년, 2015년보다 많은 강우량이 발생하였다. 또한 강우 패턴이 과거와는 다르게 가을철 많은 강우량이 발생하였다. 설마천 유역에 위치한 설마천 토양수분량 관측소의 경우 2016년 평균토양수분량이 13.7%, 표준편차 6.3%로 2015년(평균 12.9%)보다 큰 특성을 보였다. 청미천 유역에 위치한 청미천 토양수분량 관측소에서도 2016년 평균토양수분량이 24.5%, 표준편차 5.0%로 2015년 (24.3%)보다 증가하였다. 설마천 관측소보다 청미천 관측소의 토양수분량 특성이 크게 나타나는데 이는 청미천 관측소가 설마천 관측소에 비해 유효토심이 깊고 토성의 점토 함량이 상대적으로 높기 때문으로 판단된다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.137-138
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• 2018

본 논문에서는 해경, 경찰 소방의 임무 상황 등에서 신속하고 능동적으로 대처할 수 있는 드론(Drone) 영상 종합정보처리 및 분석용 시스템을 제안한다. 제안하는 시스템은 드론에서 획득한 영상을 RTP/RTSP 프로토콜을 통해 수신하여 서버에 저장하고, 다양한 시나리오에 따른 영상 처리 및 분석을 수행한다. 실험을 통해 교통량 측정, 용의자 및 차량 추적, 조난자 식별 및 해상 초계 임무에 적용할 수 있음을 확인한다. 드론 운용자가 임무에 따른 필요 기능을 선택하고 신속하게 대처할 수 있는 시스템을 구현하였다.

• Journal of Korean Society of Transportation
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• v.20 no.1
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• pp.19-38
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• 2002

To evaluate the effects of transportation system operation, usually measures of effectiveness(MOE) such as travel time, space mean speed, stop/delay ratio have been used. But, energy consumption as well as the existing MOE in transportation receives more attention as an alternative MOE in transportation operation. The purpose of this study is a development of procedure, which could measure the relative energy consumption for each alternative and compare the results. A mesoscopic simulator called INTEGRATION is used to evaluate the operation of high occupancy vehicle lane, signal optimization, lane expansion, and the application of ITS. Among those, the application of ITS shows the greatest effectiveness in energy reduction, and then lane expansion, signal optimization, and the operation of high occupancy vehicle lane in the order named. Because we don't consider the characteristics of vehicle class, Potential demand and the simulation time is just for an hour. it is recommended that a procedure for precise economic analysis and an improvement in methodology are needed in the future for the expanded application of this study.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.1 s.2
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• pp.75-84
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• 2003

Current techniques for road-traffic monitoring rely on sensors which have limited capabilities, are costly and disruptive to install. The use of video cameras coupled with computer vision techniques offers an attractive alternative to current sensors. Video based traffic monitoring systems are now being considered key points of advanced traffic management systems. In this paper, we propose the new method which extract the traffic information using video camera. The proposed method uses an adaptive updating scheme for background in order to reduce the false alarm rate due to various noises in images. also, the proposed extraction method of traffic information calculates the traffic volume ratio of vehicles passing through predefined detection area, which is defined by the length of profile occupied by cars over that of overall detection area. Then the ratio is used to define 8 different states of traffic and to interpret the state of vehicle flows. The proposed method is verified by an experiment using CCTV traffic data from urban area.

• Journal of Climate Change Research
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• v.3 no.2
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• pp.153-159
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• 2012

CFC-12 used in mobile air conditioning(MAC) system has been replaced by R-134a, a type of HFC refrigerant, from 1991 to 1994. R-134a has since been widely used as a refrigerant of a mobile air conditioner. However, it is one of the six main green house gases listed in Kyoto Protocol, which makes it imperative to regulate its emission and develop alternative refrigerants. In this study, the concentration of leaked R-134a was measured using VT(Variable Temperature) shed and Running loss test shed to analyze the level of air conditioner refrigerant leaked in a vehicle. According to the analysis of the concentration of R-134a leaked from a vehicle parked, annual leakage amount of R-134a was in the range of 6.46~13.28 g/yr. The figure was similar with the leakage from the mobile air conditioning system currently used. In a study using the same vehicle model, a vehicle equipped with dual evaporation system had a higher leakage rate of refrigerant than a vehicle with a single evaporation system. It appears that the added fittings and joints of the dual evaporator system led to higher leakage rate. Besides, the analysis of the change in R-134a concentration under various car speed found that more refrigerant leaked under high speed(100km/hr) and but the volume of the wind did not affect to the variation of refrigerant leakage.

• Journal of Korean Society of Transportation
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• v.17 no.2
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• pp.91-103
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• 1999

이 연구는 자동 차량위치 측정기법(Automatic Vehicle Location, AVL)을 이용해서 수집한 교통상황자료를 가지고 구간 통행시간을 산출하는 알고리즘을 개발한다. AVL기법을 이용하는 경우, 처리해야 할 자료량이 많아서 실시간에 정보를 산출하는 것이 힘들다. 따라서 이 연구는 처리해야 할 자료량을 가능한 한 줄이고 자료량이 적은 경우에도 효율적인 구간통행시간을 산출하는 알고리즘을 제시한다. 이 연구의 방법론은 크게 4가지인데, 첫째, 해석 기법, 둘째, 회귀분석, 셋째, 인공지능 및 전문가 시스템, 넷째, 통계분석이다. 이 방법론을 이용해서 세 단계 알고리즘을 개발하는데, 첫째는 실시간 분석통계 알고리즘, 둘째는 과거자료분석 알고리즘, 셋째는 자료응합 알고리즘이다. 이 알고리즘 가운데 자료융합 알고리즘 결과가 산출하고자 하는 구간 통행시간이다. 실시간 분석통계 알고리즘은 연속하는 세 개 구간의 통행 패턴을 이용해서 가운데 구간의 통행시간을 산출하는 방법을 제시한다. 또 실시간 분석통계 알고리즘으로 산출하지 못한 구간은 인접구간 상관도 정보를 이용해서 구간통행시간을 추정한다. 과거자료분석 알고리즘은 회귀분석을 이용해서 시간대별 통행시간 평균과 분산을 구하고, 이 결과를 바탕으로 인접구간 상관도 정보를 오프라인으로 구하는 알고리즘이다. 자료융합 알고리즘은 2가지 단계를 거치는데, 그것은 실시간 자료융합과 최종 자료융합이다. 실시간 자료융합은 실시간에 가까운 자료원의 실시간 분석통계 알고리즘 결과 패턴과 인접구간 상관도 정보를 이용한 구간통행시간 추정 결과를 이용해서 패턴에 따라 다른 방법으로 융합을 하는 알고리즘을 개발한다. 최종 자료융합은 실시간 자료융합 결과와 회귀분석 결과의 패턴을 이용해서 구간 통행시간을 산출한다. 이 연구를 기존 연구와 비교할 때, 세 가지 독차성이 있다. 첫째는 연속하는 세 구간 통행 패턴을 분석하였기 때문에 기존의 노드의존 방식을 탈피하였다는 점이다. 따라서 자료량이 적은 경우도 믿을만한 통행시간을 산출할 수 있다는 것이다. 둘째는 인접구간 상관도 정보를 구간통행시간 산출에 이용하였기 때문에 자료를 효율적으로 이용할 수 있다는 점이다. 셋째는 자료원 패턴을 분류하고 전문가 시스템을 이용하여 자료융합 하였기 때문에 수행속도가 빠르고, 신뢰성있는 정보를 제공한다는 점이다. 이 연구는 개발한 알고리즘 정확도를 검증하기 위해서 두 가지 검증방법을 이용하였다. 첫째는 시뮬레이션을 이용한 것이고, 둘째는 실제 주행조사 분석을 이용한 것이다. 두 가지 검증 결과는 알고리즘 정확도를 보여준다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.143-148
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• 2015

In order to design and plan a city, the importance of collecting traffic information increases. However, current method to collecting traffic information by using sensors layed on the roads is not appropriate for exceptional cases such as national highway or newly planned city area, where sensors are already not layed. To scope the cases, the traffic information is estimated from traffic information of surroundings area. This paper develops portable traffic volume measuring equipment utilizing two or radar detector, so that more useful traffic information can be obtained in any environments. Furthermore, the system allows users to be able to instantly analyze gathered data on the site. The system has been tested in the field and proved the excellences theough the field test.

• KIISE Transactions on Computing Practices
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• v.21 no.3
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• pp.223-238
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• 2015

Ramp metering is the most effective and direct method to control a vehicle entering the freeway. This paper proposed the new density-based ramp metering method. Existing methods that use the flow data had low reliability data and can have various problems. Also, when the ramp metering was operated by freeway congestion, the additional congestion and over-capacity can occur in the ramp. To solve this problem with the existing method, the proposed method used the density and acceleration data of the freeway and considered the ramp status. The developed strategy was tested on Trunk Highway 62 west bound (TH-62 WB) in Minnesota Twin-City and compared with Stratified Zone Metering(SZM), which had been operating in the Twin-City freeway. To constitute the experiment environment, the VISSIM simulator was used. The Traffic Information and Condition Analysis System (TICAS) was developed to control the PTV VISSIM simulator. The experiment condition was set between 2:00 PM and 7:00 PM, Oct 5th, 2014 during severe traffic congestion. The simulation results showed that total travel time was reduced by 20% for SZM. Thus, we solved the problem of ramp congestion and over-capacity.

• Journal of Broadcast Engineering
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• v.24 no.2
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• pp.243-250
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• 2019

In this paper, we propose a system for processing and analyzing drone image information which can be applied variously in disasters-security situation. The proposed system stores the images acquired from the drones in the server, and performs image processing and analysis according to various scenarios. According to each mission, deep-learning method is used to construct an image analysis system in the images acquired by the drone. Experiments confirm that it can be applied to traffic volume measurement, suspect and vehicle tracking, survivor identification and maritime missions.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.5
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• pp.77-87
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• 2018

Traffic Density is the most important of the three primary macroscopic traffic stream parameters, because it is most directly related to traffic demand(Traffic Engineering, 2004). It is defined as the number of existing vehicles within a given distance at a certain time. However, due to weather, road conditions, and cost issues, collecting density directly on the field is difficult. This makes studies of density less actively than those of traffic volume or velocity. For these reasons, there is insufficient attempts on divers collecting methods or researches on the accuracy of measured values. In this paper, we used the 'Density Measuring System' based on the synthesise technology of several camera images as a method to measure density. The collected density value by the 'Density Mesuring System' is selected as the true value based on the density define, and this value was compared with the density calculated by the traditional measurement methods. As a result of the comparison, the density value using the fundamental equation method is the closest to the true value as RMSE shows 1.8 to 2.5. In addition, we investigated some issues that can be overlooked easily such as the collecting interval to be considered on collecting density directly by calculating the moment density and the average density. Despite the actual traffic situation of the experiment site is LOS B, it is difficult to judge the real traffic situation because the moment density values per second are observed max 16.0 (veh/km) to min 2.0 (veh/km). However, the average density measured for 15 minutes at 30-second intervals was 8.3-7.9 (veh/km) and it indicates precisely LOS B.