![]() ![]() A VTS supervisor with the delegated powers of the harbor master leads each VTS Center, and a team of VTS officers and shipping coordinators supports the VTS supervisor. Further, the Port of London Authority has a team of 44 VTS personnel that oversees its VTS area on a 24/7 basis, 365 days a year. The network uses AIS information to improve maritime safety information, search and rescue missions, and icebreaking operations. The Swedish Maritime Administration has a network of land-based AIS base stations to receive AIS information from vessels and transmit safety-related information. The radar system is designed to automatically track a maximum of 10,000 targets at any one time. In the case of Hong Kong, its Marine Department has 13 radars employed in the system to provide radar surveillance coverage of Hong Kong’s navigable waters. ![]() Coast Guard Navigation Center, the Coast Guard operates 12 vessel traffic centers (VTC) and 200 very-high-frequency (VHF) receiver sites located throughout the coastal areas of the United States. Some countries or cities have provided information for warning and guiding marine traffic by operating authorities. ![]() Additionally, a scenario for shipping industry was developed for stakeholders that employs analytics, stream processing, monitoring, alerting, and vessel route optimization over big data. Further, hydrographic geospatial standards for marine data and information and their effective representation were suggested for communities, including marine science and maritime technology. The system analyzes and displays optimized situation-dependent maneuvering plans for maritime traffic emergencies. Another method was developed to enhance responses to maritime emergencies by using the Electronic Chart Display and Information System. Moreover, a reference model of port information systems was developed consisting of various types of data and analyses however, the model does not deal with the analysis or visualization of AIS data. For instance, by using AIS data, the drifting of ships can largely influence marine traffic accidents. Several works have been conducted to aid the guidance and decision making of vessels. The AIS data used in this study were collected from the Korea Research Institute of Ships and Ocean Engineering (KRISO). Ultimately, the study aims to answer the following questions: (i) What are the crucial characteristics of a maritime traffic control system to support control officers in making decisions? (ii) How can multiple vessels’ navigation information at a port be effectively analyzed and visualized for control officers? To answer these questions, we analyze AIS data and visualize the results using the REMO approach and GIScience following Laube and Imfeld. Furthermore, we assess the tool via user interviews, which is the novelty of this study. We analyze multiple vessels’ movements using one of the existing approaches in GIScience, the RElative MOtion (REMO) approach, and visualize the results on two-dimensional, electronic navigational charts. The current research is a pilot study aiming to develop a maritime traffic control system that supports control officers’ decision-making process and to conduct a usability test of the system. The users also indicated a need for multiple color schemes for the spatial data and more landmark information about the study area in the chartmap view. ![]() The results of the user evaluation showed that the users needed changes in the size, position, colors, and transparency of the trajectory symbols in the digital chartmap view of V-REMO for better readability and easier manipulation. The general usability of V-REMO, the data visualization, and the readability of information in the UI were tested through in-depth interviews. In addition, the study conducted a user evaluation to assess the user interface (UI) of V-REMO and to future enhance the usability. The study visualized the results on electronic navigational charts in the prototype tool developed, V-REMO. The REMO approach in this study measured the relative speed, delta-speed, and the azimuth of each vessel per time unit. The study analyzed the movements of multiple vessels through automatic identification system (AIS) data using one of the existing methodologies in GIScience, the RElative MOtion (REMO) approach. This research is a pilot study to develop a maritime traffic control system that supports the decision-making process of control officers, and to evaluate the usability of a prototype tool developed in this study. ![]()
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