Improving Situation Awareness in the Maritime Domain

نویسنده

  • Maurice Glandrup
چکیده

Organizations in the maritime safety and security domain have to cope with complex situations at sea, harbors, and rivers to maintain acceptable levels for safety and security. For safety, traffic rules apply at sea. Yet in areas with heavy traffic, it is difficult to tell which vessels adhere to traffic rules and which ones do not. For security, suspicious activities such as drugs smuggling need to be detected. In the past years it has become clear that there now are more means to detect vessels, because more vessels have equipment to broadcast their current position or are detected by sensor systems that are placed along the coast. At the same time, the rising problem is that it has become difficult to handle complex situations because of the amount of vessel movements in an area. In addition to the more complex view on vessel movement, more information on vessels is available in databases and on the Internet. To identify a vessel as suspect, information about the crew, cargo and owner can be used as a discriminator. Today’s maritime safety and security systems do not provide the mechanisms to handle the amount and diversity of information that is available. It is the task of operators to combine all information and elicit suspicious vessels. The risk is that operators have an information overload which causes them to miss important and relevant events, or to notice them too late. In this chapter we discuss several scenarios that indicate difficulties that maritime safety and security organizations face while building situation awareness.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Maritime Collision Detection and Advisory System (MCDAS) - Improving Situation Awareness and Enabling Lean Manning

This paper maps the three levels of Situation Awareness (i.e. perception, comprehension and projection) in maritime navigation to the different watchkeepers's roles (Look-Outs, Radar/Navigation Specialist and Officer-Of-the-Watch) inside the bridge of a naval vessel. It can be shown that the Maritime Collision Detection and Advisory System (MCDAS) complement these roles by operating as a data p...

متن کامل

An Analytic Framework for Maritime Situation Analysis

Maritime domain awareness is critical for protecting sea lanes, ports, harbors, offshore structures and critical infrastructures against common threats and illegal activities. Limited surveillance resources constrain maritime domain awareness and compromise full security coverage at all times. This situation calls for innovative intelligent systems for interactive situation analysis to assist m...

متن کامل

18th ICCRTS Increasing Maritime Situational Awareness with Interoperating Distributed Information Sources

Enhanced maritime situational awareness picture is a common need for maritime authorities interested in security, safety, border control, and marine environment protection. In order to have an enhanced maritime situation awareness picture, it is recognized that there is a need for advanced and innovative surveillance and information-sharing technologies. This study presents an open and interope...

متن کامل

Enhanced Maritime Domain Awareness through Web-based Configurable Software

Maritime domain awareness (MDA) of vessel traffic in a large operational area requires automated tools for watchstanders and analysts. Additionally, the users must be able to tailor the tools to keep pace with changing operational needs. Lockheed Martin Advanced Technology Laboratories has fielded web accessible software that enables operators to configure and manage intelligent agents that mon...

متن کامل

Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models

Maritime situation awareness is of importance in a lot of areas – e.g. detection of weapon smuggling in military peacekeeping operations, and harbor traffic control missions for the coast guard. In this paper, we have combined the use of Self Organizing Maps with Gaussian Mixture Models, in order to enable situation awareness by detecting deviations from normal behavior in an unsupervised way. ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013