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Applying the dynamic predictive guidance to ship collision avoidance : Crossing case study simulation. / Kozynchenko, Alexander I.; Kozynchenko, Sergey A.

In: Ocean Engineering, Vol. 164, 15.09.2018, p. 640-649.

Research output: Contribution to journal › Article › peer-review

Harvard

Kozynchenko, AI & Kozynchenko, SA 2018, 'Applying the dynamic predictive guidance to ship collision avoidance: Crossing case study simulation', Ocean Engineering, vol. 164, pp. 640-649. https://doi.org/10.1016/j.oceaneng.2018.07.012

APA

Kozynchenko, A. I., & Kozynchenko, S. A. (2018). Applying the dynamic predictive guidance to ship collision avoidance: Crossing case study simulation. Ocean Engineering, 164, 640-649. https://doi.org/10.1016/j.oceaneng.2018.07.012

Vancouver

Kozynchenko AI, Kozynchenko SA. Applying the dynamic predictive guidance to ship collision avoidance: Crossing case study simulation. Ocean Engineering. 2018 Sep 15;164:640-649. https://doi.org/10.1016/j.oceaneng.2018.07.012

Author

Kozynchenko, Alexander I. ; Kozynchenko, Sergey A. / Applying the dynamic predictive guidance to ship collision avoidance : Crossing case study simulation. In: Ocean Engineering. 2018 ; Vol. 164. pp. 640-649.

BibTeX

@article{265c1c5902064515a3c600c60fdb4ad9,
title = "Applying the dynamic predictive guidance to ship collision avoidance: Crossing case study simulation",
abstract = "Preventing collisions at sea is one of the main tasks of the safe ship navigation, attracting great attention. Such artificial intelligence methods as neural networks and fuzzy logic have been applied to the problem. The paper aims to address the collision avoidance issue by using the dynamic predictive guidance technique. The Visual C++-based simulation framework has been developed including the ship's nonlinear dynamic model and the algorithm of numerical optimization. The case study of the predictive guidance system was carried out in a two-ship crossing situation. The simulation results show the feasibility and effectiveness of the proposed technique and software.",
keywords = "Obstacle avoidance, Predictive guidance, Ship manoeuvring, Ship motion model",
author = "Kozynchenko, {Alexander I.} and Kozynchenko, {Sergey A.}",
note = "Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd Copyright: Copyright 2018 Elsevier B.V., All rights reserved.",
year = "2018",
month = sep,
day = "15",
doi = "10.1016/j.oceaneng.2018.07.012",
language = "English",
volume = "164",
pages = "640--649",
journal = "Ocean Engineering",
issn = "0029-8018",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Applying the dynamic predictive guidance to ship collision avoidance

T2 - Crossing case study simulation

AU - Kozynchenko, Alexander I.

AU - Kozynchenko, Sergey A.

N1 - Publisher Copyright: © 2018 Elsevier Ltd Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2018/9/15

Y1 - 2018/9/15

N2 - Preventing collisions at sea is one of the main tasks of the safe ship navigation, attracting great attention. Such artificial intelligence methods as neural networks and fuzzy logic have been applied to the problem. The paper aims to address the collision avoidance issue by using the dynamic predictive guidance technique. The Visual C++-based simulation framework has been developed including the ship's nonlinear dynamic model and the algorithm of numerical optimization. The case study of the predictive guidance system was carried out in a two-ship crossing situation. The simulation results show the feasibility and effectiveness of the proposed technique and software.

AB - Preventing collisions at sea is one of the main tasks of the safe ship navigation, attracting great attention. Such artificial intelligence methods as neural networks and fuzzy logic have been applied to the problem. The paper aims to address the collision avoidance issue by using the dynamic predictive guidance technique. The Visual C++-based simulation framework has been developed including the ship's nonlinear dynamic model and the algorithm of numerical optimization. The case study of the predictive guidance system was carried out in a two-ship crossing situation. The simulation results show the feasibility and effectiveness of the proposed technique and software.

KW - Obstacle avoidance

KW - Predictive guidance

KW - Ship manoeuvring

KW - Ship motion model

UR - http://www.scopus.com/inward/record.url?scp=85053160572&partnerID=8YFLogxK

U2 - 10.1016/j.oceaneng.2018.07.012

DO - 10.1016/j.oceaneng.2018.07.012

M3 - Article

AN - SCOPUS:85053160572

VL - 164

SP - 640

EP - 649

JO - Ocean Engineering

JF - Ocean Engineering

SN - 0029-8018

ER -

ID: 77960086