Stochastic Model of Ships Traffic Capacity and Congestion - Validation by Real Ships Traffic Data on Świnoujście - Szczecin Waterway

• Autorzy: Gucma L. , Bąk A. , Sokołowska S.

Identyfikatory

DOI

10.1515/aon-2017-0013

• Języki publikacji: EN

Abstrakty

EN

Paper presents validation of previously created stochastic ships traffic stream model by the real data of ships delays on Świnoujście — Szczecin waterway. The model is mostly based on Monte Carlo methodology. The model is microscopic which means that each ship’s model is treated as separate object possessing given attributes. As the main parameter of presented validation total waiting (delay) time of ships have been applied. The time of ships delays was possessed from Szczecin VTS centre and compared with the model output.

PL

W artykule przedstawiono wyniki walidacji wcześniej stworzonego stochastycznego modelu strumienia ruchu statków przez porównanie z rzeczywistymi danymi o opóźnieniu statków na drodze wodnej Świnoujście — Szczecin. Model został zbudowany w oparciu o metodologię Monte Carlo. Jest to model z kategorii „mikroskopowych”, co oznacza, że każdy statek jest traktowany jako odrębny obiekt, cechujący się indywidualnymi atrybutami. Jako główny parametr walidacji przyjęto całkowity czas oczekiwania (opóźnienia) statków. Czas definiujący opóźnienie statków został pozyskany z centrum VTS Szczecin i porównany z wynikami modelowymi.

Słowa kluczowe

EN

ship traffic stream model; waterway capacity; ship intensity; congestion; ships traffic streams

• Wydawca: Polskie Forum Nawigacyjne
• Czasopismo: Annual of Navigation
• Rocznik: 2017
• Tom: No. 24
• Strony: 191
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Gucma L.

• Maritime University of Szczecin, Wały Chrobrego 1-2 Str., 70-500 Szczecin, Poland

autor

Bąk A.

• Maritime University of Szczecin, Wały Chrobrego 1-2 Str., 70-500 Szczecin, Poland

autor

Sokołowska S.

• Maritime Office in Szczecin, Stefana Batorego 4 Str., 70-207 Szczecin, Poland

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).