• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.209-215
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• 2022

On the Jeju coast, international cruise ships, passenger ships, and other ships pass frequently, as well as many fishing boats. Thus, there is a high risk of marine accidents and frequent ship collisions. Accordingly, it is urgent to establish a coastal VTS for systematic safety management of ships passing through the coastal waters of Jeju. The purpose of this study was to set the area of the VTS to be newly established. In this study, to calculate the workload of the VTS operators, a formula was proposed that reflects the monitoring workload considering the monitoring frequency and required time for target as well as non-target ships and the workload for ship collision situations. The proposed formula was applied to the newly established VTS area in Jeju. Three control sectors were set up in each VTS center. The average number of workstations per hour was approximately 1, so the division between sectors was appropriate. Thus, it was deduced that there would be no workload for the VTS operators. It is expected that the method proposed in this study can be used as primary data for calculating the appropriate number of workstations for the current VTS, and setting the VTS area for a new coastal VTS in the future.

• Journal of Navigation and Port Research
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• v.48 no.3
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• pp.239-248
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• 2024

VTS operators monitor movements of vessels within their jurisdiction and provide necessary information to ensure safe navigation. This involves communication with vessels within the VTS area. Contents of these communications are manually recorded in logbooks. However, manual logging faces limitations due to its inability to document details comprehensively and the challenge of constant recording amidst various duties. This study aimed to quantitatively analyze the workload associated with manual logkeeping by examining eye movements of VTS operators. Eye-tracking devices were used to measure gaze patterns of VTS operator at the Busan Port. Results indicated that approximately 65% of the VTS operators' gaze was directed towards the operation consoles, which were focal points for marine traffic information. In contrast, only about 9% of their gaze was directed towards logbooks. These findings suggest that while VTS operators predominantly focus on areas related to information gathering and dissemination, logbooks, being information-recording zones, receive minimal attention. For effective traffic management, the primary focus should be on information processing and provision rather than manual documentation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.19-21
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• 2019

매년 기상 악화로 인하여 선박사고가 발생하고 있으며, 해상특보 발효 시 VTS센터에 출항 가능 여부 및 특보 사항을 문의하고 있으며, 태풍 내습시 VTS센터의 업무량이 증가하고 있는 실정임. 기상 악화시 발생하는 선박 사고를 예방하기 위한 앱을 개발하여 선박의 안정항해 도모와 선박교통관제사의 업무 효율성 향상을 위한 방안.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.266-268
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• 2016

우리나라는 항만운영의 효율성 및 선박 안전운항을 위하여 1993년 포항을 시작으로 전국 18개의 VTS 시스템을 설치 운영하고 있으나, 최근 선박 교통량의 증가와 더불어 해양사고의 증가 원인으로 인적요인에 대해 연구 필요성이 대두되고 있다. 특히 해상교통관제 업무는 고도의 주의력과 예측능력을 요구하므로 이를 저해하는 인적요인을 분석 및 관리할 필요성이 있다. 따라서 본 연구에서는 VTS 관제실의 근무환경에 대해 설문조사를 통한 요구사항 분석과 함께 현장조사를 시행하여 분석함으로서 VTS 관제장비 및 관제석의 최적 배치방안을 제시하여 최상의 해상교통관리 체제 구축에 대하여 고찰해 보았다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.48-50
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• 2019

해양사고 대응능력 향상을 위해 해양경찰청으로 일원화되는 VTS 업무의 질적 양적 향상과 선박교통관제법(가칭) 제정(예정) 이후 보다 체계적인 조직관리 등을 위하여 기존의 VTS인력관련 연구용역 결과 및 실제 업무량 분석을 통한 인력산출 및 VTS조직 확대를 전제로 한 VTS운영업무를 지원하고 기획하는 VTS시설·행정 업무의 조직체계, 정원 및 보직관리 등 발전 방안 연구.

• Journal of Navigation and Port Research
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• v.47 no.4
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• pp.212-219
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• 2023

Vessel Traffic Service (VTS) area presents a complex traffic pattern due to ships entering or leaving the port to utilize port facilities, as well as ships passing through the coastal area. To ensure safe and efficient management of maritime traffic, VTS operators continuously monitor and control vessels in real time. However, during periods of high traffic congestion, the workload of VTS operators increases, which can result in delayed or inadequate VTS services. Therefore, it would be beneficial to predict traffic congestion and congested areas to enable more efficient traffic control. Currently, such prediction relies on the experience of VTS operators. In this paper, we defined vessel traffic congestion from the perspective of a VTS operator. We proposed a method to generate traffic networks using historical navigational data and predict traffic congestion and congested areas. Experiments were performed to compare prediction results with real maritime data (Daesan port VTS) and examine whether the proposed method could support VTS operators.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.828-835
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• 2023

Vessel traffic service operators (VTSOs) need to quickly and accurately analyze the maritime traffic situation in the vessel traffic service (VTS) area and provide information to the vessels. However, if traf ic increases rapidly, the workload of VTSOs increases, and they may not be able to provide adequate information. Therefore, it is essential to develop VTSO support technologies that can reduce their workload and provide consistent information. In this paper, we propose a model for automatically detecting abnormal vessels in the VTS area. The proposed model consists of a positional model and a contextual model and is specifically optimized for the traffic characteristics of the target area. The implemented model was tested by using real-world data collected at a test center (Daesan Port VTS). Our experiments confirmed that the model could automatically detect various abnormal situations, and the results were validated through expert evaluation.

• Journal of Navigation and Port Research
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• v.42 no.4
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• pp.277-282
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• 2018

Recently, the Vessel Traffic Service (VTS) coverage has expanded to include coastal areas following the increased attention on vessel traffic safety. However, it has increased the workload on the VTS operators. In some cases, when the traffic volume increases sharply during the rush hour, the VTS operator may not be aware of the risks. Therefore, in this paper, we proposed a new method to recognize ship movement anomalies automatically to support the VTS operator's decision-making. The proposed method generated traffic pattern model without any category information using the unsupervised learning algorithm.. The anomaly score can be calculated by classification and comparison of the trained model. Finally, we reviewed the experimental results using a ship-handling simulator and the actual trajectory data to verify the feasibility of the proposed method.

• Smart Media Journal
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• v.13 no.3
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• pp.45-52
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• 2024

In today's growing threat environment, rapid and effective detection and response to security events is essential. To solve these problems, many companies and organizations respond to security threats by introducing security control systems. However, existing security control systems are experiencing difficulties due to the complexity and diverse characteristics of security events. In this study, we propose an automated integrated security control system model based on artificial intelligence. It is based on deep learning, an artificial intelligence technology, and provides effective detection and processing functions for various security events. To this end, the model applies various artificial intelligence algorithms and machine learning methods to overcome the limitations of existing security control systems. The proposed model reduces the operator's workload, ensures efficient operation, and supports rapid response to security threats.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1129-1132
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• 2000

최근의 정보기술 발달로 지리 정보의 이용 영역이 점점 확대되고 있다. 특히 지리정보 시스템은 토지, 도시 및 지역, 시설물 관리, 교통, 환경, 자원, 기상 및 국방정보를 비롯하여 수송 및 배달, 공익사업 등 다양한 분야에 활용도가 풍부하다[1][4]. 본 논문은 가스 잔류량 원격 탐지용 송.수신 제어부와의 인터페이스 기능을 갖는 연결보드와 이 보드를 통해 들어오는 수용가(고객)의 사용검침정보를 GIS(Geography Information System)과 통합하여 통계자료 분석 및 보고서를 발행하고, 사용에 따른 실시간 저장소 위치정보를 실시간으로 모니터링 및 사용자 관리할 수 있는 원격 관제시스템을 개발했다. 현재 가스 공급자들이 겪고있는 어려움 중의 하나는 노동력에 의한 가스 잔류량을 수시로 검침하고 검침량에 따라 수금을 하고 있다. 본 시스템의 개발로서 원격에서 가스 잔류랑 검침 및 가스탱크 교환시기, 고객관리 및 고지서 발행과 GIS를 이용한 재충전 또는 교환할 가스탱크의 위치 및 시기를 쉽게 파악하고 긴급 상황에 따른 조치를 신속하게 취할 수 있다. 그리고 가스저장소 실 시간관제, 저장소의 현황분석을 통한 가스 공급자의 관리업무에 대한 효율성을 도모한다.