Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time

Erwin Filtz; Emanuel Sanchez de la Cerda; Mathias Weber; David Zirkovits

doi:10.1007/978-3-319-19243-7_29

Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time

Erwin Filtz, Emanuel Sanchez de la Cerda, Mathias Weber, David Zirkovits

Institute for Data, Process and Knowledge Management (AE Polleres)

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Abstract

Due to the high density of ocean traffic and the influence of marine weather on the route planning of vessels, as well as berth allocation in harbors, it is important to be able to predict arrival times as precise as possible. This paper shows the influence of marine weather on ship speed by analyzing publicly available ship traffic and weather data from different sources. A linear regression model is created to explain recorded ship speed in terms of certain ship properties and marine weather. The model has an adjusted R2 value of 83.98% with a significant correlation of many weather related data such as wind direction (0.211), significant wave height (0.195), peak wave period (0.133), as well as ship-related data including ship type, dead weight tonnage, and gross register tonnage. Given the variables in the model the speed of the ship could be estimated fairly well. These variables along with other factors are tested regarding their usefulness for the prediction of arrival times.

Original language	English
Title of host publication	Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings
Editors	Persson, Anne, Stirna, Janis
Place of Publication	Stockholm
Publisher	Springer International Publishing
Pages	305 - 316
DOIs	https://doi.org/10.1007/978-3-319-19243-7_29
Publication status	Published - 1 Oct 2015

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Filtz, E., Sanchez de la Cerda, E., Weber, M., & Zirkovits, D. (2015). Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time. In Persson, Anne, Stirna, Janis (Ed.), Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings (pp. 305 - 316). Springer International Publishing. https://doi.org/10.1007/978-3-319-19243-7_29

Filtz, Erwin ; Sanchez de la Cerda, Emanuel ; Weber, Mathias et al. / Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time. Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings. editor / Persson, Anne, Stirna, Janis. Stockholm : Springer International Publishing, 2015. pp. 305 - 316

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title = "Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time",

abstract = "Due to the high density of ocean traffic and the influence of marine weather on the route planning of vessels, as well as berth allocation in harbors, it is important to be able to predict arrival times as precise as possible. This paper shows the influence of marine weather on ship speed by analyzing publicly available ship traffic and weather data from different sources. A linear regression model is created to explain recorded ship speed in terms of certain ship properties and marine weather. The model has an adjusted R2 value of 83.98% with a significant correlation of many weather related data such as wind direction (0.211), significant wave height (0.195), peak wave period (0.133), as well as ship-related data including ship type, dead weight tonnage, and gross register tonnage. Given the variables in the model the speed of the ship could be estimated fairly well. These variables along with other factors are tested regarding their usefulness for the prediction of arrival times.",

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Filtz, E, Sanchez de la Cerda, E, Weber, M & Zirkovits, D 2015, Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time. in Persson, Anne, Stirna, Janis (ed.), Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings. Springer International Publishing, Stockholm, pp. 305 - 316. https://doi.org/10.1007/978-3-319-19243-7_29

Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time. / Filtz, Erwin; Sanchez de la Cerda, Emanuel; Weber, Mathias et al.
Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings. ed. / Persson, Anne, Stirna, Janis. Stockholm: Springer International Publishing, 2015. p. 305 - 316.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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T1 - Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time

AU - Filtz, Erwin

AU - Sanchez de la Cerda, Emanuel

AU - Weber, Mathias

AU - Zirkovits, David

PY - 2015/10/1

Y1 - 2015/10/1

N2 - Due to the high density of ocean traffic and the influence of marine weather on the route planning of vessels, as well as berth allocation in harbors, it is important to be able to predict arrival times as precise as possible. This paper shows the influence of marine weather on ship speed by analyzing publicly available ship traffic and weather data from different sources. A linear regression model is created to explain recorded ship speed in terms of certain ship properties and marine weather. The model has an adjusted R2 value of 83.98% with a significant correlation of many weather related data such as wind direction (0.211), significant wave height (0.195), peak wave period (0.133), as well as ship-related data including ship type, dead weight tonnage, and gross register tonnage. Given the variables in the model the speed of the ship could be estimated fairly well. These variables along with other factors are tested regarding their usefulness for the prediction of arrival times.

AB - Due to the high density of ocean traffic and the influence of marine weather on the route planning of vessels, as well as berth allocation in harbors, it is important to be able to predict arrival times as precise as possible. This paper shows the influence of marine weather on ship speed by analyzing publicly available ship traffic and weather data from different sources. A linear regression model is created to explain recorded ship speed in terms of certain ship properties and marine weather. The model has an adjusted R2 value of 83.98% with a significant correlation of many weather related data such as wind direction (0.211), significant wave height (0.195), peak wave period (0.133), as well as ship-related data including ship type, dead weight tonnage, and gross register tonnage. Given the variables in the model the speed of the ship could be estimated fairly well. These variables along with other factors are tested regarding their usefulness for the prediction of arrival times.

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BT - Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings

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Filtz E, Sanchez de la Cerda E, Weber M, Zirkovits D. Factors Affecting Ocean-Going Cargo Ship Speed and Arrival Time. In Persson, Anne, Stirna, Janis, editor, Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings. Stockholm: Springer International Publishing. 2015. p. 305 - 316 doi: 10.1007/978-3-319-19243-7_29