A container ship traffic model for simulation studies

• Autorzy: Wawrzyniak Jakub , Drozdowski Maciej , Sanlaville Éric

Identyfikatory

DOI

10.34768/amcs-2022-0038

• Języki publikacji: EN

Abstrakty

EN

The aim of this paper is to develop a container ship traffic model for port simulation studies. Such a model is essential for terminal design analyses and testing the performance of optimization algorithms. This kind of studies requires accurate information about the ship stream to build test scenarios and benchmark instances. A statistical model of ship traffic is developed on the basis of container ship arrivals in eight world ports. The model provides three parameters of the arriving ships: ship size, arrival time and service time. The stream of ships is divided into classes according to vessel sizes. For each class, service time distributions and mixes of return time distributions are provided. A model of aperiodic arrivals is also proposed. Moreover, the results achieved are used to compare port specific features.

Słowa kluczowe

EN

benchmark instances; algorithm evaluation; data analysis; container ship; traffic modeling; marine logistics

PL

instancje wzorcowe; ocena algorytmu; analiza danych; kontenerowiec; modelowanie ruchu; logistyka morska

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2022
• Tom: Vol. 32, no. 4
• Strony: 537--552
• Opis fizyczny: Bibliogr. 31 poz., tab., wykr.

Twórcy

autor

Wawrzyniak Jakub

• Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965 Poznań, Poland

autor

Drozdowski Maciej

• Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965 Poznań, Poland

autor

Sanlaville Éric

• Faculty of Science and Technology, Normandy University—UNIHAVRE, UNIROUEN, INSA Rouen, LITIS, 25 rue Philippe Lebon, BP 540 76086 Le Havre, France

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)