Optimal ship tracking on a navigation route between two ports: a hydrodynamics approach

Panigrahi, J. K.; Padhy, Chinmaya; Sen, Debabrata; Swain, J.; Larsen, Ole

doi:10.1007/s00773-011-0116-3

Cited by 33 publications

(13 citation statements)

References 15 publications

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“…Lee et al (2011) propose a multi-resolution planning method, which appears to be suitable for including wave effects as well. Panigrahi et al (2012) advocates the use of Dijkstra's algorithm for a better handling of the voluntary speed loss in the optimization procedure. By applying a Bézier curve for the description of a ship's route, Ishii et al (2010) demonstrate that only a few variables are needed to generate an optimum route.…”

Section: Weather Routing and Operational Guidancementioning

confidence: 99%

Prediction of wave-induced loads on ships: Progress and challenges

et al. 2016

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The aim of this paper is to critically assess the methods used for the evaluation of wave-induced loads on ships examining analytical, numerical and experimental approaches. The paper focuses on conventional ocean going vessels and loads originating from steady state and transient excitations, namely slamming, sloshing and green water, for the latter, and including extreme or rogue waves, as well as the more occasional loads following damage. The advantages and disadvantages of the relatively simpler potential flow approaches against the more time consuming CFD methods are discussed with reference to accuracy, modelling nonlinear effects, ease of modelling and of coupling with structural assessment procedures, suitability for long term response prediction and suitability for integration within design and operational decision making. The paper also assesses the uncertainties involved in predicting wave-induced loads and the probabilistic approaches used for the evaluation of long term response and fatigue analysis. The current design practice is reviewed and the role of numerical prediction methods within the classification framework and goal based design approach discussed. Finally the suitability of current developments in prediction methods to meet the needs of the industry and future challenges is assessed.

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Section: Weather Routing and Operational Guidancementioning

confidence: 99%

Prediction of wave-induced loads on ships: Progress and challenges

et al. 2016

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“…Without modeling the ship performance, it is not possible to minimize the fuel consumption for a given arrival time without exceeding the safe operating limits [19,20]. Speed, loading and heading should all be integrated into routing optimization, making the problem multi-dimensional [21].…”

Section: Introductionmentioning

confidence: 99%

The influence of route choice and operating conditions on fuel consumption and CO2 emission of ships

et al. 2016

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The influence of various parameters, such as ship initial speed (full ahead and lower engine loads), loading condition, heading angle and weather conditions on ship fuel consumption and CO2 emission is presented. A reliable methodology for estimating the attainable ship speed, fuel consumption and CO2 emission in different sea states is described. The speed loss is calculated by taking into account the engine and propeller performance in actual seas as well as the mass inertia of the ship. The attainable ship speed is obtained as time series. Correlation of speed loss with sea states allows predictions of propulsive performance in actual seas. If the computation is used for weather routing purposes, values for various ship initial speed, loading conditions and heading angles for each realistic sea-state must be provided. The voluntary speed loss is taken into account. The influence of the ship speed loss on various parameters such as fuel consumption and CO2 emissions is presented. To illustrate the presented concept, the ship speed and CO2 emissions in various routes of the Atlantic Ocean are calculated using representative environmental design data for the track of the routes where the ship will sail.

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“…A method for detecting the absence or presence of a ship based on the fusion of raw data obtained from radar and an automatic identification system, and using a binary hypothesis testing problem, was proposed in [7]. An approach for determining the optimum track of ships was proposed in [8]. The authors propose a unique approach that takes into account both voluntary and involuntary speed reductions of the ship.…”

Section: Introductionmentioning

confidence: 99%

The Use of Kalman Filter Techniques for Ship Track Estimation

Assaf

Voicu

Petriu

2020

Wseas Transactions on Systems

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Unscented Kalman Filter (UKF) is a technique used in non-linear applications and dynamic systems identification (e.g. tracking marine vessels and ships) that require state and parameter estimation. This paper studies Kalman Filter (KF) based techniques for tracking ships using Global Positioning System (GPS) data. The present work proposes to exploit information from GPS sensors in order to track a ship in real-time. The absence and presence problem of a ship is handled by a applying KF theory to analyze GPS coordinates and compare current marine vessel routes to previously recorded ones. To study tracking performance, the system was implemented in C++ and simulation results demonstrate the feasibility and high accuracy of the proposed tracking method

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Optimal ship tracking on a navigation route between two ports: a hydrodynamics approach

Cited by 33 publications

References 15 publications

Prediction of wave-induced loads on ships: Progress and challenges

Prediction of wave-induced loads on ships: Progress and challenges

The influence of route choice and operating conditions on fuel consumption and CO2 emission of ships

The Use of Kalman Filter Techniques for Ship Track Estimation

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