• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.261-262
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• 2018

The tasks of Vessel Traffic Services are classified according to the content of the information provided. Since the establishment of the first Vessel Traffic Service center in 1993 at Phohang harbour, it has been steadily developed and its work domain and scope have been expanded. In this paper, the importance and workload of Vessel Traffic Service operators were analyzed according to classification of the tasks. In order to measure the importance and workload, questionnaires were conducted for the operators nationwide, and conclusions were drawn using the multi-criteria decision making process. The relationship between the importance of tasks and the workload might be used as the weights for setting the service areas in the future. Furthermore, it is expected to be used as the data of changable sector operation based on the relationship between importance and workload.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.206-207
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• 2019

우리나라에서 해상교통관제시스템(Vessel Traffic Service, VTS) 구역을 설정하여, 관제사를 중심으로 한 VTS와 선박사이의 해상교통상황 등의 교환을 통해 항만의 안전과 항만운영의 효율을 높이고 있다. 향후, 연안으로 확대될 예정이다. 더 넓은 해역에 대해서는 해양안전종합정보시스템(GICOMS)이 있으며, 선박자동식별장치 (AIS), 장거리위치추적시스템 (LRIT) 등에서 송신하는 선박의 운항정보를 수신하여 전자해도에 표시하고 있다. 이와 같은 선박관제정보는 빅데이터로 향후 자동화된 분석과 제원체계가 요구된다. 여기서는 해상교통관제정보 기초 활용 연구로, 소청초 종합해양과학기지주변의 AIS (Automatic Identification System)정보를 사용하여 선박 활동 특성 해석을 진행하였다.

• Journal of Korean Society of Transportation
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• v.18 no.3
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• pp.55-76
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• 2000

We propose a general solution methodology for identifying the optimal aggregation interval sizes as a function of the traffic dynamics and frequency of observations for four cases : i) link travel time estimation, ii) corridor/route travel time estimation, iii) link travel time forecasting. and iv) corridor/route travel time forecasting. We first develop statistical models which define Mean Square Error (MSE) for four different cases and interpret the models from a traffic flow perspective. The emphasis is on i) the tradeoff between the Precision and bias, 2) the difference between estimation and forecasting, and 3) the implication of the correlation between links on the corridor/route travel time estimation and forecasting, We then demonstrate the Proposed models to the real-world travel time data from Houston, Texas which were collected as Part of the Automatic Vehicle Identification (AVI) system of the Houston Transtar system. The best aggregation interval sizes for the link travel time estimation and forecasting were different and the function of the traffic dynamics. For the best aggregation interval sizes for the corridor/route travel time estimation and forecasting, the covariance between links had an important effect.

• 한국ITS학회:학술대회논문집
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• 2005.11a
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• pp.89-96
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• 2005

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.213-221
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• 2014

Since 2005, when "The Mobility Enhancement for the Mobility Impaired Act" was enacted, special transport systems(SPS) has been introduced by each responsible local entity. For its efficient operations and service enhancements, a clear understanding of travel patterns of SPS users is required. Yet we currently have a very limited understanding about them due to a lack of necessary data. This study represents an attempt to provide a better understanding of SPS user's travel patterns with the data generated by Gyeongsangnam-do SPS Call Center. The data include the number, time and day of calls, origins and destinations of callers, types of callers' impairement etc. The data thus allow one to analyze users' travel patterns, including area-wide O-D patterns. There were a number of interesting findings. For example, wheelchair users are only about 42% and the trips are made mostly on non-peak daytime periods. The results are expected to provide a helpful information not just for Center's SPS operations, but for other local entities that are interested in developing similar call centers as well. By refining the SPS system, periodic patterns of callers could be identified in the future.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.109-110
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• 2015

본 논문에서는 Radio Frequency Identification(RFID)를 이용하여 도로의 Internet of Things(IoT)를 실현하는 기술을 구상한다. RFID태그를 도로에 일정한 간격으로 설치하고, 자동차에 설치된 RFID 리더기가 태그에서 정보를 읽고 실시간으로 중앙통제센터에 보낸다. 이 정보를 분석하여 교통량, 사고유무, 사고위치 등을 파악하여 교통문제나 2차사고를 예방한다. 이 기술의 목적은 현재 상용화된 Global Positioning System(GPS)기술이 감지하기 힘든 환경이나 Vehicle to Vehicle(V2V)가 가지는 해킹의 문제점을 보안하여 안전한 운전환경을 제공하는데 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.526-527
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• 2020

본 연구는 대중교통 활용도를 높이고자 효율적인 버스 환승지 추천 서비스를 설계한다. 제주데이터 허브에서 입수한 승하차데이터를 처리하여 승객수와 버스의 정류장 도착시간 등을 예측함은 물론 인터넷 연결을 통해 버스정보시스템과 연동하여 현재의 교통상황을 실시간으로 입수하여 효율적인 환승지를 추천한다. 승객은 변동되는 교통상황에 따라 이동중에도 더 좋은 환승 노선으로 변경할 수 있으며 데이터센터 관점에서는 축적되고 있는 버스 데이터의 활용도도 높일 수 있다.

• 한국IT서비스학회:학술대회논문집
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• 2009.05a
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• pp.110-114
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• 2009

최근 정보기술과 유비쿼터스기술을 바탕으로 도시를 미래화하는 유비쿼터스도시(U-City)구축이 범 국가적으로 추진되고 있다. 이에, 정부에서는 2008년 9월 25일 유비쿼터스도시의 건설 등에 관한 법률 시행령을 발표하였으며, 유비쿼터스도시서비스(U-City Service)를 크게 행정, 교통, 보건 의료 복지, 환경, 방범 방재, 시설물 관리, 교육, 문화 관광 스포츠, 물류, 근로 고용 등의 분야로 구분하였다. 이러한 유비쿼터스도시서비스를 제공하고 운영 및 관리하는 시설로 유비쿼터스도시 통합운영센터(U-City Management Center)는 다양한 유비쿼터스도시서비스를 효과적으로 연계하여 서비스에서 발생되는 다양한 도시정보를 통합, 분석하고 제공하는 유비쿼터스도시 핵심기능을 담당한다. 하지만 이러한 유비쿼터스도시 통합운영센터의 구축은 운영조직구성, 운영비용확보, 통합서비스 제공방안, 법 제도 정비 등의 해결과제를 가지고 있어 구현방안에 대한 구체적인 연구가 요구된다. 본 연구에서는 선행연구를 바탕으로 유비쿼터스도시 통합운영센터에서 기본적으로 제공되어야 할 유비쿼터스도시서비스 유형을 제시하고 정의한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8A
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• pp.838-845
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• 2008

In this study, we developed a OBE(On Board Equipment) system in which moving cars communicate directly each other to exchange traffic information. this system achieved by using DSRC(Dedicated Short Range Communication). this technology can improve the fidelity of collected information by transferring current state information from a moving car to center in real time. As a consequence of it, moving cars can be offer information service of hight quality even in a shadow zone. and also, in addition to basic ETC function for toll payment, using our newly developed system, delivering traffic information and providing additive service like GPS can be achieved by car-to-car direct communication within shadow areas without additional infra-structure.

• Land and Housing Review
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• v.15 no.1
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• pp.135-146
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• 2024

This study predicts the means sharing ratio of the urban air transportation (UAM) when the VertiHub of the UAM in the southern western part is built at Songjeong Station in Gwanju. Based on Monte Carlo simulation of the utility function and means selection logit model for each means of transportation, our findings indicate an average mode share of 0.95%, with a variability range from 0.07% to 4.7%. Moreover, 95% of the simulation outcomes fall below a 2.02% mode share. Sensitivity analysis, conducted via Tornado Plot, highlights that the mode share is principally influenced by factors such as the unit fare, cost parameter, basic fare, and the time required for takeoff and landing. Notably, a negative correlation exists for unit fare, basic fare, and takeoff and landing time, suggesting the necessity of setting an appropriate level of fair to enhance UAM utilization.