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1
Content available Heuristic Method of Safe Manoeuvre Selection Based on Collision Threat Parameters Areas
Szlapczynska J., Szlapczynski R.
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
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2017
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Vol. 11, no. 4
591--596
EN
This paper is a continuation of papers dedicated to a radar-based CTPA (Collision Threat Parameters Area) display designed to support safe manoeuvre selection. The display visualizes all the ships in an encounter and presents situational overview from the own ship's point of view. It calculates and displays information on unsafe or unrealistic own ship's course & speed allowing a user to select a safe manoeuvre. So far only the manual selection was possible, thus the paper aims at presenting a heuristic approach towards the manoeuvre selection when using the display.
2
Content available Data Acquisition in a Manoeuver Auto-negotiation System
Szlapczynska J.
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
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2015
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Vol. 9, no. 3
343--348
EN
Typical approach to collision avoidance systems with artificial intelligence support is that such systems assume a central communication and management point (such as e.g. VTS station), usually located on shore. This approach is, however, not applicable in case of an open water encounter. Thus, recently a new approach towards collision avoidance has been proposed, assuming that all ships in the encounter, either restricted or open water, communicate with each other and negotiate their maneuvers, without involving any outer management or communication center. Usually the negotiation process is driven by the collision avoidance software and called auto-negotiation. This paper elaborates on data acquisition problem in case of the maneuver auto-negotiation. It focuses on ships' initialization in the system and data gathering.
3
Content available Multicriteria Evolutionary Weather Routing Algorithm in Practice
Szlapczynska J.
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
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2013
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Vol. 7, no. 1
61--65
EN
The Multicriteria Evolutionary Weather Routing Algorithm (MEWRA) has already been introduced by the author on earlier TransNav 2009 and 2011 conferences with a focus on theoretical application to a hybrid‐propulsion or motor‐driven ship. This paper addresses the topic of possible practical weather routing applications of MEWRA. In the paper some practical advantages of utilizing Pareto front as a result of multicriteria optimization in case of route finding are described. The paper describes the notion of Paretooptimality of routes along with a simplified, easy to follow, example. It also discusses a choice of the most suitable ranking method for MEWRA (a comparison between Fuzzy TOPSIS and Zero Unitarization Method is presented). In addition to that the paper briefly outlines a commercial application of MEWRA.
4
Content available remote Weather Hazard Avoidance in Modeling Safety of Motor-Driven Ship for Multicriteria Weather Routing
Krata P., Szlapczynska J.
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
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2012
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Vol. 6, no. 1
71--78
EN
Weather routing methods find the most suitable ocean’s route for a vessel, taking into account changeable weather conditions and navigational constraints. In the multicriteria approach based on the evolu-tionary SPEA algorithm one is able to consider a few constrained criteria simultaneously. The approach ap-plied for a ship with hybrid propulsions has already been presented by one of the authors on previous Trans-Nav’2009. This time a motor-driven version of the solution is presented. The paper is focused especially on a proposal of ship safety measure, based on restricting the impact of weather hazards on the ship. Besides the weather conditions and navigational restraint the safety of a vessel is one of more important factors to be con-sidered. The new approach towards a safety factor modeling is described and implemented.
5
Content available remote Multiobjective approach to weather routing
Szlapczynska J.
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
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2007
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Vol. 1, no. 3
273--278
EN
The paper presents a weather routing solution for sail-assisted ships. Since the route finding optimisation process is a multiobjective one, the emphasis is put on possible application of multiobjective optimisation methods. The paper focuses on two such methods, namely evolutionary algorithms and ranking methods represented by Fuzzy TOPSIS. In addition, a proposed set of optimization criteria is presented. Descriptions of assumed ship and sail models as well as exemplary speed characteristic are also provided. Finally, a proposal of application to a weather routing tool is presented.
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