## 1 Introduction  
Providing maritime traffic information is essential for ensuring safe and efficient vessel navigation. As maritime traffic, particularly in coastal waters, becomes more complex and vessel densities increase, visualizing information has become more critical for assisting ship operators in making efficient decisions. Hydrographic information, which includes navigation data and hazardous areas, plays an essential role in this process. Proper visualization of this data helps ship operators understand and make decisions, particularly in route planning. Additionally, vessel types vary in activity patterns, necessitating tailored information that can effectively reflect this diversity [1]. Current hydrographic information systems provide information on vessel operations through various forms of publication, including paper and electronic charts, hydrographic bibliographies, nautical charts, and nautical distance tables. Electronic nautical chartsare displayed on the ship's monitor through an electronic chart display and information system (ECDIS) to provide real-time information on a ship's position, other vessels, and set course. However, the complex maritime traffic behavior that occurs depending on the type, size, and characteristics of ships in various maritime spaces is not sufficiently provided by current hydrographic information. Consequently, there is a need for a system that comprehensively analyzes maritime traffic behavior in specific sea areas using actual ship navigation data and incorporates it into an electronic navigational chart (ENC) to assist operators in decision-making. To overcome the limitations of current systems, next-generation hydrographic information systems will potentially provide navigation information and comprehensively analyze and visualize ship movements and patterns. This approach enables vessel operators to observe an integrated analysis using spatial and navigational data in real time, enabling them to make quick and accurate decisions. [PERSON] [2] defines situational awareness as \"the ability to perceive what is happening around us at a particular time and space, integrate perceived information to understand the current situation, and predict how the situation will change in the near future\". Accurate situational awareness leads to accurate decisions and judgments, while errors in this process decrease the likelihood of making sound decisions and judgments. Situational awareness involves a three-stage cognitive process that operators perform before making decisions. Based on this theory, [PERSON] et al. [3] and [PERSON] et al. [4] categorized situational awareness activities during navigation into three stages: perception, comprehension, and projection. Alternatively, based on a situation awareness model proposed by [PERSON], navigators' situation awareness involves monitoring and checking traffic information on current waterways, integrating information to understand potential future impacts, and predicting future environmental events. Based on the maritime traffic behaviors identified in the perception stage, recommending a route is plausible by checking traffic congestion and collision risk and predicting collisions with other ships and obstacles on the route. In the perception phase, information is acquired through the mission's equipment (e.g., radar and ECDIS), while the comprehension phase involves understanding traffic conditions. Consequently, the navigator can understand current traffic behaviors and routes based on visual and hydrographic information, such as ECDIS, and predict possible future hazards. However, current maritime traffic and hydrographic information delivery systems have limitations that hinder navigators from achieving effective situational awareness. The existing hydrographic information does not provide comprehensive, real-time information regarding changes in maritime traffic conditions or vessel interactions.