A Role-based Multi-agent Model for Concurrent Navigation Systems

نویسندگان

  • S. Fournier
  • T. Devogele
چکیده

1. INTRODUCTION Since the eighties constant augmentation of the demand on worldwide maritime transportation together with acute economical competition have increased the pressure on ship owners and commercial fleets. Crews are often reduced to a minimum and sometimes to even one officer of the watch in the deck. In order to counterbalance these negative effects on safety navigation, and to facilitate the task of navigation officers, a new generation of automated-navigation systems has appeared over the past years. Those include the Automatic Radar Plotting Aids (ARPA) [1], Automatic Identification System (AIS) [2] and Electronic Charts Display Information System [3]. The ARPA is currently one of the most frequently implemented systems for automatic navigation. It is based on a radar system that makes tracking of ships possible, and derives important navigation information such as the Closest Point of Approach (i.e. minimal distance that separates two ships whose routes are crossing) and the Time to Closest Point of approach (TCPA). The AIS is a communication system that allows exchange of navigation data between ships and navigation authorities (one VHF transmitter, two VHF Time Division Multiple Access receivers and one VHF Digital Selective Calling receiver). It is a solution comparable to aeronautic transponders. The ECDIS is an electronic mapping tool that includes GPS information, navigation tools, route planning and warning functionalities. It can also integrate ARPA and AIS data. These automated navigation systems are part of the resources used by an officer of the watch, contributing thus to safe navigation. Further work in the development of

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

Dynamic Multi-Objective Navigation in Urban Transportation Network Using Ant Colony Optimization

Intelligent Transportation System (ITS) is one of the most important urban systems that its functionality affects other urban systems directly and indirectly. In developing societies, increasing the transportation system efficiency is an important concern, because variety of problems such as heavy traffic condition, rise of the accident rate and the reduced performance happen with the rise of p...

متن کامل

Load-Frequency Control: a GA based Bayesian Networks Multi-agent System

Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...

متن کامل

User-based Vehicle Route Guidance in Urban Networks Based on Intelligent Multi Agents Systems and the ANT-Q Algorithm

Guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of Intelligent Transportation Systems (ITS). Nowadays, many complex systems can be controlled by using multi agent systems. Adaptation with the current condition is an important feature of the agents. In this research, formulation of dynamic guidance for vehicles has been investigated based...

متن کامل

Urban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data

Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...

متن کامل

Requirements, Formal Verification and Model transformations of an Agent-based System: A CASE STUDY

One of the most challenging tasks in software specifications engineering for a multi-agent system is to ensure correctness. As these systems have high concurrency, often have dynamic environments, the formal specification and verification of these systems along with step-wise refinement from abstract to concrete concepts play major role in system correctness. Our objectives are the formal speci...

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 2015