• Journal of Korean Port Research
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• v.13 no.2
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• pp.323-332
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• 1999

The bus should supply an equal service to the whole community as feeder trip. However the existing bus route can not supply an effective feeder service in spite of the changes in the latent demand by the variety of regional structural change. This study aimed to establish the concept which frames the bus operation and management to cope with the latent demand to the bus. This study tackled this evidence by analyzing the transportation problems in terms of the urban growth emphasizing the following issues ; First, the strategy to improve the bus operation Second the land use control appropriate for the public transportation network Third economical range to justify the bus operation Second, the land use control appropriate for the public transportation network Third, economical range to justify the bus operation Fourth, the allowance for the private transportation mode On the latter part, the difference on the bus operation was compared to determine the range within which the bus operation could be justified. This study would provide some implications to improve the management for bus operation and fundamental information to develop the bus operation system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.133-134
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• 2019

우리나라는 협소한 국토구조 특성상 도로운송 위주의 화물운송체계가 정착되어 있어 내륙수송비 부담 증가, 교통 혼잡, 대기오염 및 소음, 도로파손, 대형교통사고 등 크고 작은 문제가 지속적으로 ${\cdot}{\cdot}{\cdot}{\cdot}$(중략)${\cdot}{\cdot}{\cdot}{\cdot}$ 따라서 본 연구에서는 물류비용 및 서비스를 좌우하는 수송비용과 물류인프라 초기투자비용을 최소화하면서 교통 혼잡, 온실가스배출 등 사회 환경 비용을 절감하기 위한 단절없는 인터모달 자동화물운송 시스템 개념을 정립하고 구성요소 및 요소기술을 ${\cdot}{\cdot}{\cdot}{\cdot}$(중략)${\cdot}{\cdot}{\cdot}{\cdot}$

• Journal of the Korean Institute of Navigation
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• v.9 no.2
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• pp.27-41
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• 1985

The transportation productivity is the throughput of utility per locations of resources and is able to be brought forth by using transportation mode. Therefore, Oil energy is necessary for using the transportation mode that is mainly consisted of four parts trucks, railroad, ship and aircraft, and Oil quantity used for such modes is not respectively same. Noticing Such a Point, the purpsoe of this paper is to reaserch the transportation mode of convertable cargoes and to minimize energy consumption quantity by adopting such a mode. We must ttend to Energy-Intensity, Transportation, Distance and cargo quantity for selecting the transport mode to energy consumption and the minimization of transportation energy consumption is concluded in the next LP Problem. As above mentioned, we can find the solution of Xij by the LP when Xij is transportation cargo per routes, and fullfil the minimization of Energy Consumption.

• Journal of Navigation and Port Research
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• v.34 no.10
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• pp.781-786
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• 2010

In this study, a new concept of ocean transport system, called the mobile harbor serving for a short distance transport of containers with cargo handling cranes between mother containerships and coastal ports, is introduced. Instead of direct berthing a very large containership at the coastal port, Mobile Harbor is moving to the offshore mooring basin with enough water depth condition. Therefore, investigation of the coastal environment, technical condition and limitation of the domestic trade ports for the application of Mobile Harbor, is essential process. To figure out the accessibility of mobile harbor, the environmental conditions, the cargo handling capacity and marine traffic volume and flow pattern has been analyzed with the tools for marine traffic simulation and virtual navigation aids system. The most proper Mobile Harbor mooring areas among trade ports of the south and east coast are selected by analyzing the obtained information and evaluating its application: (1) Under natural environmental conditions such as air and sea weather, three candidate areas are selected such as Masan port, Ulsan port, and Busan(New port) port. (2) Under marine traffic and appropriateness of water facilities, three candidate areas are selected as Mokpo port, Busan(New port) port, and Donghae & Mookho port (3) For a region-based analysis considering handling capacity and the local managed trade ports in vicinity, three candidate areas are selected as Busan region, Yosu & KwangYang region, and Mokpo region. Through this study, the basic guideline for selection of optimum trade port and offshore mooring basin for mothership and Mobile Harbor is recommended. In order to apply the Mobile Harbor to the real water, navigaton aids as the virtual route identification with AIS must be introduced for maritime safety in the vicinity of Mobile Harbor area which berthing and cargo handling is being conducted.

• Journal of Korea Port Economic Association
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• v.17 no.2
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• pp.89-110
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• 2001

Recent trends in globalization and informatization underscore the importance of logistics. As a result, there is a need for skilled and specialized logisticians. Third Party Logistics (TPL) and Supply Chain Management (SCM) require logisticians with a broad base of knowledge in areas such as multimodal transport, international trade, information technology computers, finance, operations management, etc. This study conducted a survey to find out the opinions of demanders and suppliers. The results of the surrey show that there are more skilled logisticians in the field of management, computer works in manager level and system management. The survey also found that the certificate exam, which the Ministry of Construction and Transportation started in 1997 as the "Certified Logistics Manager" exam, should have more questions in areas such as foreign languages, computers, logistics information, management skills, etc. To produce better logisticians in Korea, the government will have to invest more into their education, especially near the major ports and metropolitan areas. In addition, it is important that universities and companies work together to provide students with internship and other field-experience teaming opportunities. Logistics education centers should be built at the national level. In addition, the existing certification should be divided into two separate certifications: one for ordinary logistics, and one for international logistics. To further improve the certification system, short-answer or essay questions should be added to the second exam, and an additional certification for the highest level logisticians, a so-called "professional logisticians certificate," needs to be introduced.ntroduced.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.303-307
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• 2004

The scale of ship's cargo transport is getting larger, more economics of scale are gained the speed is higher and the size of quay fundling equipment in container terminal is larger. The productivity cf the quay qffects occupation for limited scale of yard. This paper aims to calculate the yard occupation by handling systems, such as OHBC, RMGC, RTTC, etc, and lay-out.

• Proceedings of KOSOMES biannual meeting
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• 2009.06a
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• pp.71-75
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• 2009

This paper proposes an evaluation to Target Factor Values of Port State Control Inspections(PSCITFV) using AHP because PSCITFV is very simple methode, This AHP is the more rational and objective methode than existing TFV methode. AHP is relative measurement., but, weights should be re-calculation whenever alternative plan add. To this solve, therefore, this paper, used an absolute measurement and involved an marine casualty factor in PSCITFV, that IMO go ahead with it., Also, accomplished with evaluation some ships for the practice.

• Journal of Navigation and Port Research
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• v.48 no.2
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• pp.116-124
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• 2024

Automatic docking of small planing ship is a critical aspect of maritime operations, requiring accurate prediction of motion states to ensure safe and efficient maneuvers. This study investigates the use of Artificial Neural Network (ANN) to predict motion state of a small planing ship to enhance navigation automation in port environments. To achieve this, simulation tests were conducted to control a small planing ship while docking at various heading angles in calm water and in waves. Comprehensive analysis of the ANN-based predictive model was conducted by training and validation using data from various docking situations to improve its ability to accurately capture motion characteristics of a small planing ship. The trained ANN model was used to predict the motion state of the small planning ship based on any initial motion state. Results showed that the small planing ship could dock smoothly in both calm water and waves conditions, confirming the accuracy and reliability of the proposed method for prediction. Moreover, the ANN-based prediction model can adjust the dynamic model of the small planing ship to adapt in real-time and enhance the robustness of an automatic positioning system. This study contributes to the ongoing development of automated navigation systems and facilitates safer and more efficient maritime transport operations.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.61-73
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• 2020

Real-time location-sensing technology using location information collected from IoT devices is being applied for safety management purposes in many industries, such as ports. On the other hand, positional error is always present owing to the characteristics of GPS. Therefore, accident-risk detection algorithms must consider positional error. This paper proposes an methodology of calibration for falling object accident-risk-zone approach detection algorithm considering GPS errors. A probability density function was estimated, with positional error data collected from IoT devices as a probability variable. As a result of the verification, the algorithm showed a detection accuracy of 93% and 77%. Overall, the analysis results derived according to the GPS error level will be an important criterion for upgrading algorithms and real-time risk managements in the future.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.27-33
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• 2024

Following the COVID-19 pandemic, congestion within container terminals has led to a significant increase in waiting time and turnaround time for external trucks, resulting in a severe inefficiency in gate-in and gate-out operations. In response, port authorities have implemented a Vehicle Booking System (VBS) for external trucks. It is currently in a pilot operation. However, due to issues such as information sharing among stakeholders and lukewarm participation from container transport entities, its improvement effects are not pronounced. Therefore, this study proposed a deep learning-based predictive model for external trucks turnaround time as a foundational dataset for addressing problems of waiting time for external trucks' turnaround time. We experimented with the presented predictive model using actual operational data from a container terminal, verifying its predictive accuracy by comparing it with real data. Results confirmed that the proposed predictive model exhibited a high level of accuracy in its predictions.