• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.190-201
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• 2021

The variable message sign (VMS) is equipment to improve the efficiency of traffic flow and safety of travel by providing real-time information to road users on traffic, road, weather situation, and traffic control due to construction. The information messages of the letter-based VMS taking up most of the VMS on the general national highways consist of section, travel time in sections, and road control situation. This study devised an improvement plan centered on road users, not road managers-centered existing message-based VMS through an analysis of road users' preference targeting the letter-based VMS operated in the general national highways in the Seoul Metropolitan Area. By presenting the measure for system improvement through which information on unexpected situations that road users prefer the most can be quickly and efficiently provided, this study aims to improve the efficiency of road user-centered VMS traffic information.

• Journal of Korean Society of Transportation
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• v.16 no.1
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• pp.165-186
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• 1998

선진 외국의 대도시에서는 도시고속도로의 원할한 교통류 흐름을 유지하기 위하여 다양한 교통류 관리기법을 도입.시행하고 있으며, 운영전략의 개발과 교통류 관리기법의 평가를 위한 다양한 모델을 개발.적용하고 있다. 서울시 도시고속도로의 경우에는 외국 도시고속도로의 교통류와 상이한 특성이 많아 기존에 개발된 모델의 적용이 매우 어려운 실정이며, 현재가지 실제교통류 관리를 위한 목적으로 개발되어 적용되는 모델은 없는 실정이다. 따라서 향후 서울시 도시고속도로 교통관리시스템의 효율적인 운영을 위하여 교통류 관리기법을 선정하고, 각 기법별로 교통류 소통상황을 예측할 수 있는 기능을 갖춘 국내 실정에 맞는 도시고속도로 교통류 예측 모델의 개발이 반드시 필요하다. 본 연구의 목적은 도시고속도로를 대상을 교통류의 현상을 잘 표현하며, 도시고속도로 교통류 관리를 위한 기법의 개발 및 평가가 가능한 시뮬레이션 모델(KUFRE:Korean Urban Freeway Simulation Model)을 개발하는 것이 목적이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.3
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• pp.27-33
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• 2009

Content used in mashups is typically obtained from a third party source through a public interface or API (web services). Other methods of obtaining content for mashups include Web feeds (e.g. RSS or Atom), and screen scraping. A mashup or meshup Web application has two parts: A new service delivered through a Web page, using its own data and data from other sources. The blended data, made available across the Web through an API or other protocols such as HlTP, RSS, REST, etc. There are many types of mashups, such as consumer mashups, data mashups, and Business Mashups. The most common mashup is the consumer mashup, which are aimed at the general public. Examples include Google Maps, iGuide, and RadioClouds. 4D Wall-map display is data mashups combine similar types of media and information from multiple sources into a single representation. This technology focus data into a single presentation and allow for collaborative action among ITS-related information sources.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.352-360
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• 1998

교통소통과 안전을 위해서는 체계적이고도 획일적인 교통안전시설물의 설치 및 관리가 요구된다. 앞으로 교통안전시설물에 많은 투자가 절실히 요구되며, 계속 늘어나고 있는 자동차등 여러 가지 교통여건을 감안하면, 교통안전시설물에 대한 수요는 더욱 증갛살 것으로 예상된다. 지리정보시스템 (GIS)을 활용하게되면 급증하는 교통안전시설물의 조사 및 유지·관리업무를 제한된 인력과 예산으로 수행할 수 있게된다. 그러므로 교통안전시설물의 체계적인 유지·관리를 위해선 GIS의 활용은 필수적이라 하겠다. 또한 신설 및 교체수량의 정확한 예측 등과 같은 효과를 거둘 수 있어 효율적인 예산을 집행할 수 있게된다. 본 연구는 지리정보시스템 (GIS)을 이용하여 교통안전시설물 유지·관리 시스템 개발에 목적이 있으며, 특히 개발된 시스템은 실무담당자 활용에 편의를 도모하는데 주안점을 두었다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.582-586
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• 2002

순차 논리 회로를 설계하기 위하여 설계용 틀을 이용해 설계하고 그 결과를 시뮬레이션 한 것을 검토하여 실제 회로로 구현한다. 본 논문에서는 시뮬레이션을 하기 위한 회로설계 방법 중 Statatable를 작성하여 틀에 입력하고 심볼로 만들어, 이것을 이용하여 시스템을 구성 후 시뮬레이션을 하였다. 특히 설계 예제로 선택한 교통 신호제어 시스템은 대기차량이 없는 차로와 있는 차로를 구분하여 선택적으로 신호를 제공하므로써 교통소통의 효율을 물론 앞으로 교통 신호 제어체계의 새로운 모델을 제시하고 있다.

• 전기의세계
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• v.28 no.5
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• pp.3-9
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• 1979

서울시의 과거 1910년의 도시계획에 의하면 상주인구를 110만명으로 보아 수립된 것이였다. 그러나 60년대부터 시작된 3차에 걸친 경제개발의 촉진으로 수도 서울의 인구는 70년에 543만명 74년에는 654만명 작년 78년 782만명으로 연평균 4.7%의 증가율을 나타낸데 비해 일일교통인구는 70년대에 600만명이든것이 78년에는 1,100만명으로 년간 9%의 증가율을 보여 원활한 교통소통에 이르지못하고 정체과밀현상을 나타내고 있다. 이 문제를 해결하기 위해서 서울시에서는 도로확장 버스증차 신호체계개선등 단기계획을 해마다 추진하고 있으며 장기적으로는 도시기능재배치에 노력하고 있으나 노면교통의 근본적인 대책은 지하철로선의 확대에 있다는 결론을 얻어 1호선에 이어 2,3,4호선을 83년까지 완공할 예정으로 건설을 서두르고 있다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.67-78
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• 2017

Traffic congestion cost is increasing annually. Specifically congestion caused by the CDB traffic contains more than a half of the total congestion cost. Recent advancement in the field of Big Data, AI paved the way to industry revolution 4.0. And, these new technologies creates tremendous changes in the traffic information dissemination. Eventually, accurate and timely traffic information will give a positive impact on decreasing traffic congestion cost. This study, therefore, focused on developing both recurrent and non-recurrent congestion prediction models on urban roads by adopting Recurrent Neural Network(RNN), a tribe in machine learning. Two hidden layers with scaled conjugate gradient backpropagation algorithm were selected, and tested. Result of the analysis driven the authors to 25 meaningful links out of 33 total links that have appropriate mean square errors. Authors concluded that RNN model is a feasible model to predict congestion.

• Journal of Korean Society of Transportation
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• v.20 no.6
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• pp.31-43
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• 2002

Traffic signal control methods are suggested to improve the operational effectiveness of COSMOS system in Seoul. First. a method that improves progression of the corridor traffic flow within a common sub-area was explored. Applying this method, both frequency and magnitude of offset transition were reduced as compared to the existing method. In addition, the level of connection among neighboring corridors increased by applying the method, thus the qualify of progression was also improved. Second, a practical guideline on signal phase design was proposed to improve the efficiency of actuated operations for the left-turn movement. Last, a method for estimating optimal queue length parameters was surveyed and evaluated. An evaluation study was performed for the suggested methods through both field and simulation studies. Results showed that the proposed methods gave better performance than the existing methods. It is expected that the use of proposed methods can improve operational performance of COSMOS.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.500-511
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• 2012

Recently, use frequency for traffic information which provides shortest paths and traffic condition is increasing. Specially, in the survey, it is shown that users prefer internet portal sites which can be used the most easily among traffic information media. But, there are not many verification systems for traffic information contents of internet portal sites which collect and provide information than traffic information contents which are provided by public service. The purpose of this study is to investigate real accuracy and accuracy felt by users about information provided by portal sites. Therefore, in this research we verified accuracy of information by portal site with real field data and investigate real usage about contents and experienced accuracy by users through survey. Also, users' expectation and satisfaction were surveyed and the contents to be improved were selected by using IPA technique. By the result of accuracy verification by field data using portable DSRC(Dedicated Short Range Communication) devices, it is shown that average error was 14~32% and sometimes very high rate. Also, it is shown that 28.3 % of total respondents prefers the information by portal sites and 50 % of total respondents felt that contents of traffic information by portal sites are not accurate. Real-time traffic condition was selected as the most inaccurate one among all contents of traffic information and it was analyzed that intensive efforts for improving information about real-time traffic condition are needed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.2
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• pp.34-44
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• 2007

Many urban cities deployed ITS technologies to improve the efficiency of traffic operation and management including a real-time franc control system (i.e., COSMOS). The system adopted loop detector system to collect traffic information such as volume, occupancy time, degree of saturation, and queue length. This paper investigated the applicability of detector information within COSMOS to represent the congestion level of the links. Initially, link travel times obtained from the field study were related with each of detector information. Results showed that queue length was highly correlated with link travel time, and direct link travel time estimation using the spot speed data produced high estimation error rates. From this analysis, a procedure was proposed to estimate congestion level of the links using both degree of saturation and queue length information.