• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.61-62
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• 2023

There have been cases where the number of port workers has temporarily decreased due to COVID-19. To prevent the spread of COVID-19, a number of workers were quarantined, resulting in bottlenecks and waiting throughout the port operation process, increasing the congestion of terminals. As a result, problems such as a decrease in terminal operation efficiency occurred. However, it is understood that congestion centered on unloading equipment inside the terminal is not clearly calculated. Terminal congestion is thought to be a key factor directly related to the operational efficiency of the terminal. The congestion calculation method generally used in various fields measures congestion based on image-based data. Due to the nature of the loading and unloading equipment that moves according to the quantitative loading plan, it is unreasonable to apply the existing congestion calculation method. Therefore, this study presented a method of calculating terminal congestion using equipment waiting time and turnaround time, and verified the statistical significance of the congestion calculated using data from Terminal A of Busan Port.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.57-58
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• 2018

As interest in the Internet of Things increases, technologies are being studied to handle information exchanged between things using the Internet of Things. Specially, as container terminals are automated, the use of the Internet of Things in the terminals increases and varies. However, the use of the Internet of Things to enhance the efficiency of the container terminal operation is insufficient. Currently, the container terminal shows that the arrival pattern of the external truck is concentrated at a particular time. This resuls in gate congestion and affects the waiting times of the truck. The damage is caused by environmental pollution problems and social problems in neighboring port areas. Therefore, in this thesis, we will analyze the causes of the external truck's waiting time problems affecting the gate congestion at container terminals and study methods to mitigate congestion under Internet of Things environment.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.344-350
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• 2022

Due to the increase in container cargo volume, the congestion of container terminals is increasing and the waiting time of gate in-out trucks has significantly lengthened at container yards and gates, resulting in severe inefficiency in gate in-out truck operations as well as port operations. To resolve this problem, the Busan Port Authority and terminal operator provide services such VBS, terminal congestion information, and expected operation processing time information. However, the visible effect remains insufficient, as it may differ from actual waiting time.. Thus, as basic data to resolve this problem, this study presents deep learning based average gate in-out truck waiting time prediction models, using container gate in-out information at Busan New Port. As a result of verifying the predictive rate through comparison with the actual average waiting time, it was confirmed that the proposed predictive models showed high predictive rate.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.235-236
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• 2012

국내 최대 규모의 컨테이너 전용 터미널인 K컨테이너터미널이 스마트폰 기능을 터미널운영시스템에 도입하고 있다. "스마트로(SmartLo)"라고 이름 붙여진 모바일 애플리케이션은 컨테이너를 운송하는 화물차 운전기사들이 항만출입을 위한 다양한 정보를 스마트폰에서 확인할 수 있도록 만든 애플리케이션이다. 본 연구에서는 컨테이너터미널 게이트에서 스마트로 모바일 애플리케이션 개발사례를 제시하고자 한다. 스마트로 서비스를 이용함으로써 컨테이너터미널에서는 사전정보 조회를 통하여 외부 정보오류 최소화와 게이트 내 혼잡 해소, 화물에 대한 신속한 반출입을 통한 고객 서비스 증대, 스마트 슬립(e-SLIP)발급으로 슬립 구입비용 절감 등의 효과를 기대할 수 있다. 또한 운송차량은 신속한 게이트 통과로 운송회전율의 향상, 전배 및 셔틀 운송시 화물에 대한 적기 운송이 가능하게 되고, 운송사 입장에서는 효율적인 배차관리가 가능할 것으로 기대하고 있다.

• Journal of Navigation and Port Research
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• v.45 no.6
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• pp.314-324
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• 2021

Competition between ports around the world is intensifying to attract transshipment cargo. However, recently, there have been concerns about the departure of transshipment cargo volume at Busan Port, such as the lifting of the cabotage policy in China's shipping sector and the implementation of a safe fare system. In terms of operation, terminal congestion and vehicle waiting time are seriously occurring due to imbalance in the transshipment volume of each terminal and vehicles concentrated in a specific time period. In this paper, we propose a method of inter-terminal transportation (ITT) using buffer space to solve the problem caused by inefficient ITT systems and presented a mixed integer programming (MIP) for the problem. The effect of using the buffer space was analyzed for various work volumes and capacity fluctuation ranges by applying the terminal congestion pattern and ITT vehicle in/out pattern based on the Busan New Port data.

• Journal of Navigation and Port Research
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• v.28 no.1
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• pp.69-74
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• 2004

Container Freight Station(CFS), which would be located inside terminal or outside, plays the role of consolidating less than container load(LCL) cargo gathered from multi shippers and deconsolidating full container load cargo into individual consignment. When CFS is allocated inside terminal it muses several problem such as traffic gam around terminal, high social and logistics cost and deterioration of terminal condition. This study, therefore, tries to evaluate the location of CFS, inside and outside of terminal, with respect to the social and logistics costs.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.295-296
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• 2022

자율운항선박은 선원의 항해 조작 없이 선박 스스로 운항하는 선박을 의미한다. 자율운항선박의 운항 시 충돌 및 사고 위험도가 큰 지역은 운항 중 선박을 많이 조우하게 되는 항 내 및 연안 지역이다. 실제로 충돌사고의 85% 이상이 항 내 및 연안 지역에서 발생한다. 따라서 자율운항선의 운항 안전성 확보를 위해 항 내 및 연안 지역에서의 운항 안전성을 검토하는 것은 미래 자율운항선 항 내 운용 체계에서 중요한 역할을 하게 된다. 대양에서는 선박 자체의 운항성능이 중요하지만, 항구 입출항 시에는 타선 및 터미널등과의 상호작용이 자율운항선의 입출항 안전성과 직결된다. 따라서 본 연구에서는 자율운항선이 항구 근처에 접근하여 입출항을 위해 대기하고 있는 경우에 입출항 결정을 내릴 수 있는 결정 알고리즘을 위한 해상혼잡도를 예측하는 알고리즘을 개발하는 과정을 소개한다. 혼잡 예측 알고리즘 개발을 위해 선박의 AIS통항 데이터를 분석하여 주요 항로를 구분하고 주요 항로의 이용 빈도 및 운항 시점의 선박 집중도 및 충돌위험 상황을 파라미터로 하여 특정 시간이 지난 후의 혼잡도를 예측하는 시스템을 개발하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.81-83
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• 2023

자율운항선박은 선원의 항해 조작 없이 선박 스스로 운항하는 선박을 의미한다. 자율운항선박의 운항 시 충돌 및 사고 위험도가 큰 지역은 운항 중 선박을 많이 조우하게 되는 항 내 및 연안 지역이다. 실제로 충돌사고의 85% 이상이 항 내 및 연안 지역에서 발생한다. 따라서 자율운항선의 운항 안전성 확보를 위해 항 내 및 연안 지역에서의 운항 안전성을 검토하는 것은 미래 자율운항선 항 내 운용 체계에서 중요한 역할을 하게 된다. 대양에서는 선박 자체의 운항성능이 중요하지만, 항구 입출항 시에는 타선 및 터미널등과의 상호작용이 자율운항선의 입출항 안전성과 직결된다. 따라서 본 연구에서는 자율운항선이 항구 근처에 접근하여 입출항을 위해 대기하고 있는 경우에 입출항 결정을 내릴 수 있는 결정 알고리즘을 위한 해상혼잡도를 예측하는 알고리즘을 개발하는 과정을 소개한다. 혼잡 예측 알고리즘 개발을 위해 선박의 AIS통항데이터를 분석하여 주요 항로를 구분하고 주요 항로의 이용 빈도 및 운항 시점의 선박 집중도 및 충돌위험 상황을 파라미터로 하여 현재 시점부터 2주후 미래까지의 항로 혼잡도를 예측하고, 정확도를 제시한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.59-60
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• 2018

Busan New Port has continued to expand its capacity to handle transshipment cargos exceeding 50 percent of its total volume, but it is considered inefficient because of the work scheduling based on the worker experience. In particular, depending on the transshipment task situation, which often requires an external truck, excessive congestion caused by the vehicle's delay can lead to increased logistics costs and social costs. One way to resolve this issue is to minimize the single transport of the truck and to maximize dual-cycle transport by putting the finished truck into another task. Therefore, we would like to study how to efficiently schedule transportation transshipment cargos between terminals considering dual-cycle.

• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.477-487
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• 2020

The inefficient operation of Busan New Port is due to container-terminal operators being dispersed in small groups, rather than being integrated. This dispersion increased following the reorganization of global shipping alliances in 2016 and causes unnecessary Inter-terminal Transportation(ITT) and ship delays. Studies of integrated operations for larger container terminals show that integration is not going well, however, due to the pre-emptive task that follows the integrated operation. Therefore, in this study, we divided the integrated operation into stages based on a simulated model of the container terminals in Busan New Port. The simulation took into account future increases in the ship's enlargement and terminal congestion, and the operational effects of each type of integrated operation were analyzed and evaluated.