• Title/Summary/Keyword: Maritime traffic management

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AP-SDN: Action Program enabled Software-Defined Networking Architecture

  • Zheng Zhao;Xiaoya Fan;Xin Xie;Qian Mao;Qi Zhao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.7
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    • pp.1894-1915
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    • 2023
  • Software-Defined Networking (SDN) offers several advantages in dynamic routing, flexible programmable control and custom application-driven network management. However, the programmability of the data plane in traditional SDN is limited. A network operator cannot change the ability of the data plane and perform complex packet processing on the data plane, which limits the flexibility and extendibility of SDN. In the paper, AP-SDN (Action Program enabled Software-Defined Networking) architecture is proposed, which extends the action set of SDN data plane. In the proposed architecture, a modified Open vSwitch is utilized in the data plane allowing the execution of action programs at runtime, thus enabling complex packet processing. An example action program is also implemented which transparently encrypts traffic for terminals. At last, a prototype system of AP-SDN is developed and experiments show its effectiveness and performance.

A Study on Application Plan LTE Wireless Network in the Container Terminal Yard (컨테이너터미널 장치장에서 무선네트워크 LTE 적용방안에 관한 연구)

  • Cha, Sang-Hyun;Noh, Chang-Kyun
    • Journal of Navigation and Port Research
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    • v.40 no.1
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    • pp.43-50
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    • 2016
  • Amid of the logistics hub center competition is going to intensifying between the world major port, it is essential to pre-occupied the base in the logistics hub world take advantage of advanced technology of logistics equipment than other ports. In existing container terminal, when container moves the terminal use the omnidirectional and directional antenna in order to exchange data information on the basis of 802.11 wireless network system. Case of loading height of exceeding, the blind sport will occur and a limited frequency channel can't help using in the area. A limited frequency channel usage and nested areas happen to use the closed terminal, it has a great influence to operate the terminal working. In this paper, LTE network is configured provided by the specified company ('L' Corp,.Ltd) and terminal data extracted through LBO (Local Breakout) in the cell site which is configured directly with container terminal operation server. Using this method, container terminal yard equipment operate without overlapping arises with uninterrupted data presented for ways to efficiently. I would suggest both the existing wireless AP LAN configuration of container terminal and new LTE system and applied to the real yard operating devices situations. Through these methods presented comparative the existing network traffic with new constructed LTE configuration. I admired to suggest that wireless network LTE introduction is fundamental factors to get rid of the blind spot, the problem of limited frequency channel and overlapping arises. These essential points can be a continual improving terminal services and more efficient terminal operational management.

A Ship-Wake Joint Detection Using Sentinel-2 Imagery

  • Woojin, Jeon;Donghyun, Jin;Noh-hun, Seong;Daeseong, Jung;Suyoung, Sim;Jongho, Woo;Yugyeong, Byeon;Nayeon, Kim;Kyung-Soo, Han
    • Korean Journal of Remote Sensing
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    • v.39 no.1
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    • pp.77-86
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    • 2023
  • Ship detection is widely used in areas such as maritime security, maritime traffic, fisheries management, illegal fishing, and border control, and ship detection is important for rapid response and damage minimization as ship accident rates increase due to recent increases in international maritime traffic. Currently, according to a number of global and national regulations, ships must be equipped with automatic identification system (AIS), which provide information such as the location and speed of the ship periodically at regular intervals. However, most small vessels (less than 300 tons) are not obligated to install the transponder and may not be transmitted intentionally or accidentally. There is even a case of misuse of the ship'slocation information. Therefore, in this study, ship detection was performed using high-resolution optical satellite images that can periodically remotely detect a wide range and detectsmallships. However, optical images can cause false-alarm due to noise on the surface of the sea, such as waves, or factors indicating ship-like brightness, such as clouds and wakes. So, it is important to remove these factors to improve the accuracy of ship detection. In this study, false alarm wasreduced, and the accuracy ofship detection wasimproved by removing wake.As a ship detection method, ship detection was performed using machine learning-based random forest (RF), and convolutional neural network (CNN) techniquesthat have been widely used in object detection fieldsrecently, and ship detection results by the model were compared and analyzed. In addition, in this study, the results of RF and CNN were combined to improve the phenomenon of ship disconnection and the phenomenon of small detection. The ship detection results of thisstudy are significant in that they improved the limitations of each model while maintaining accuracy. In addition, if satellite images with improved spatial resolution are utilized in the future, it is expected that ship and wake simultaneous detection with higher accuracy will be performed.

A Human Factors Approach for Aviation Safety (항공안전을 위한 인간공학적 대응)

  • Kim, Dae Ho
    • Journal of the Ergonomics Society of Korea
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    • v.36 no.5
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    • pp.467-484
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    • 2017
  • Objective: The purpose of this paper is to review, with the main focus on aviation safety technology and management program, how human factors are currently taken into consideration within transportation sectors, especially aviation, and to further share related information. Background: Human factors account for the majority of aviation accidents/incidents. Thus, the aviation sector has been comparatively quick in developing and applying technologies and management programs that deal with human factors. This paper reviews the latest safety technologies and management programs regarding human factors and aims to identify the trend. Method: This paper, based on literature research and practical experience, examines the latest international standards on technologies and management programs, those that deal with human factors and are adopted by international and domestic aviation organization. The main focus of discussion is how human factors are reflected during the system design and operation process. Results: The current most important issue in designing is the consideration of human factors in Cockpit, Automation, and Safety system technology design. From an operational point of view, the issues at hand are screening and training aviation workers to promote aviation safety, providing education on human factors and CRM/TEM, and running a safety management program to implement SMS. They were discussed based on the operational experience within the aviation sector. Conclusion: Major examples of a human factors approach to promote aviation safety are safety programs and various safety and monitoring technologies applied to aviation personnel for error management. These programs must be managed in an integrated manner that takes both the system designing and operational point of view into account. Application: It is thought that the human factors approach for promoting aviation safety reviewed in this paper can be extended and applied to safety management programs in other transportation sectors such as the railroad, maritime, road traffic etc.

A Study on Stabilizing Container Terminal Market in Busan Port (부산항 항만하역시장 안정화 방안에 관한 연구)

  • Ryoo, Dong-Keun;Choi, Jin-Yi;Kim, Tae-Goun
    • Journal of Navigation and Port Research
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    • v.36 no.10
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    • pp.895-904
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    • 2012
  • Today, the competition for hub-port is getting fierce and the shipping liners have enjoyed the increased bargaining power over the terminal operators through the mergers & acquisitions (M&A) and strategic alliances. This result leads the competition among terminal operators to attract liner companies and cargoes in their terminals. In demand side, however, there is a limited container cargo volume to handle because of a steady growth of cargo traffic. While, in supply side, continuous development of port terminals increased more competition among ports or terminals for cargoes. In particular the terminal operating market of Busan port is distorted because of the cargo competition between Busan North-port and Newport. The main purpose of this study is to suggest the stabilization measures of container terminal operating market in Busan port through analysis of the terminal operation market structures and market survey analysis method. For stabilizing the container terminal market, this study suggests the improvement of the legal and institutional system such as improvement in determining and reporting system of stevedoring tariff, establishment of fair competition rules etc., the introduction of port pooling system and adoption of volume-linked terminal lease system with cargo volume ceiling system for each terminal operator.

A Study on the Re-establishment of the Accident Classification for Aids to Navigation (항로표지사고 분류체계의 재정립에 관한 연구)

  • Beom-Sik Moon;Tae-Goun Kim;Chae-uk Song;Young-Jin Kim
    • Journal of Navigation and Port Research
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    • v.47 no.3
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    • pp.128-133
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    • 2023
  • In order for Aids to Navigation to provide sustainable services to users, it is possible when there is no Aids to Navigation accident. If an Aids to Navigation accident occurs, the manager should efficiently manage it to prevent the same accident. However, the current Aids to Navigation accident management only specifies the cause and type of the accident. There are no separate guidelines. Thus, the accident is recorded differently depending on the manager. Therefore, this study attempted to redefine Aids to Navigation accident. To this end, Aids to Navigation accidents that have occurred over the past 23 years (year 2000 to years 2022), IALA's Aids to Navigation information standard, S-201, and categories of accidents (traffic accidents and marine accidents) were analyzed. Causes of Aids to Navigation accidents were divided into internal and external causes. Accidents were divided into three types: Light tower accident, buoy accident, and equipment accident. By further subdividing primary items, the cause of accident was reestablished into 7 items such as mooring and bad weather and 11 items such as Light tower damage, buoy loss, and equipment breakdown. These research results can be used as basic data to provide future Aids to Navigation accident statistics.

Towards attaining efficient management of berth maintenance in Saudi Arabian Industrial Ports

  • Mohammed E. Shaawat;Abdullah Binomar;Abdulaziz S. Almohassen;Khalid Saqer. Alotaibi;Mahmoud Sodangi;Ahmad Aftab
    • Structural Monitoring and Maintenance
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    • v.10 no.1
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    • pp.25-42
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    • 2023
  • Despite the significance of ports as critical economic infrastructure, the berth facilities usually deteriorate due to heavy loading, unloading, aging, environmental weather conditions, marine growths, and lack of efficient maintenance management. Marine berths require proactive maintenance management to limit deterioration and defects as no berth facility is maintenance-free. Thus, delay in carrying out maintenance work for the marine berths can be devastating to the operational process involving ship entry, loading, and unloading operations. The aim of this research is to coordinate both operations work, and maintenance works that take place inside the berth of a local industrial port in Saudi Arabia, by developing a novel framework that integrates both works without affecting the efficiency and functionality of the berth. The study focused on defining the operational process of the port and identifying the elements with direct and indirect effects. In addition to determining the priority for the entry of ships inside the berth, it also identified the factors involved in designing a framework that included maintenance work as a component of the monthly berth occupancy schedule. By applying a mathematical model, a framework was established, which includes all the important elements of the process. As a result of the mathematical method formulation process, a database was designed that organizes and coordinates the operations of all berths within the port. This creates time to carry out the required maintenance work monthly as well as ease of coordination with the contractors responsible for the implementation of those works.

A Realization on Interface Module & Communications Protocol of AtoN AIS (AtoN AIS의 인터페이스 모듈 및 통신프로토콜 구현)

  • Choi, Jo-Cheon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.1103-1107
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    • 2009
  • Lately, trend is change to concept that management traffic of ship is magnified gradually to near shore waters from harbor. Therefore, introducing the AtoN AIS technology that install AIS in the ground station, lighthouse, bouy, sea facilities etc.. that is support equipment for safety sailing of ship and safety security of harbor and ship administration. The operation and maintenance of AtoN AIS are required to efficient method. With this actuality, sea advanced nation They has been apply for developing AtoN AIS equipment that is connected equipment of technology standard in IALA. Because of it is expected to depend equipment in income, that is required to domestic technology of the AtoN AIS. This paper is targeted to development that is suitable automation AtoN AIS equipment in environmental peculiarity for construnstrunstrAtoN operating administration center. It has been realization the interface module for control and monitoring system and the communications protocol for information interchange.

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A Study on the Improvement of Inter-Terminal Transportation Using Buffer Space (완충지역을 활용한 타부두 환적 컨테이너 운송 개선 방안)

  • Park, Hyoung-Jun;Shin, Jae-Young;Choi, Yang-Ho
    • 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.

Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques

  • Won-Hee Lee;Seung-Won Yoon;Da-Hyun Jang;Kyu-Chul Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.3
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    • pp.1-10
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    • 2024
  • The research on predicting the routes of ships, which constitute the majority of maritime transportation, can detect potential hazards at sea in advance and prevent accidents. Unlike roads, there is no distinct signal system at sea, and traffic management is challenging, making ship route prediction essential for maritime safety. However, the time intervals of the ship route datasets are irregular due to communication disruptions. This study presents a method to adjust the time intervals of data using appropriate interpolation techniques for ship route prediction. Additionally, a deep learning model for predicting ship routes has been developed. This model is an LSTM model that predicts the future GPS coordinates of ships by understanding their movement patterns through real-time route information contained in AIS data. This paper presents a data preprocessing method using linear interpolation and a suitable deep learning model for ship route prediction. The experimental results demonstrate the effectiveness of the proposed method with an MSE of 0.0131 and an Accuracy of 0.9467.