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Calibration and validation for the vessel maneuvering prediction (VMP) model using AIS data of vessel encounters. / Shu, Yaqing; Daamen, Winnie; Ligteringen, Han; Wang, Meng; Hoogendoorn, Serge.

In: Ocean Engineering, Vol. 169, 01.12.2018, p. 529-538.

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@article{34b8397c02044617be6aed9576b895c6,
title = "Calibration and validation for the vessel maneuvering prediction (VMP) model using AIS data of vessel encounters",
abstract = "The Vessel Maneuvering Prediction (VMP) model, which was developed in a previous work with the aim of predicting the interaction between vessels in ports and waterways, is optimized in this paper by considering the relative position and vessel size (length and beam). The calibration is carried out using AIS data of overtaking vessels in the port of Rotterdam. The sensitivity analysis of the optimal parameters shows the robustness of the calibrated VMP model. For the validation, the optimal parameters are used to simulate the whole path of overtaken vessels and vessels in head-on encounters. Compared to the AIS data, the validation results show that the different deviations in longitudinal direction range from 33 m to 112 m, which is less than 5{\%} of the waterway stretch. Both the calibration and validation show that the VMP model has the potential to simulate vessel traffic in ports and waterways.",
keywords = "Calibration, Head-on encounter, Overtaking encounter, The VMP model, Validation",
author = "Yaqing Shu and Winnie Daamen and Han Ligteringen and Meng Wang and Serge Hoogendoorn",
year = "2018",
month = "12",
day = "1",
doi = "10.1016/j.oceaneng.2018.09.022",
language = "English",
volume = "169",
pages = "529--538",
journal = "Ocean Engineering",
issn = "0029-8018",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Calibration and validation for the vessel maneuvering prediction (VMP) model using AIS data of vessel encounters

AU - Shu, Yaqing

AU - Daamen, Winnie

AU - Ligteringen, Han

AU - Wang, Meng

AU - Hoogendoorn, Serge

PY - 2018/12/1

Y1 - 2018/12/1

N2 - The Vessel Maneuvering Prediction (VMP) model, which was developed in a previous work with the aim of predicting the interaction between vessels in ports and waterways, is optimized in this paper by considering the relative position and vessel size (length and beam). The calibration is carried out using AIS data of overtaking vessels in the port of Rotterdam. The sensitivity analysis of the optimal parameters shows the robustness of the calibrated VMP model. For the validation, the optimal parameters are used to simulate the whole path of overtaken vessels and vessels in head-on encounters. Compared to the AIS data, the validation results show that the different deviations in longitudinal direction range from 33 m to 112 m, which is less than 5% of the waterway stretch. Both the calibration and validation show that the VMP model has the potential to simulate vessel traffic in ports and waterways.

AB - The Vessel Maneuvering Prediction (VMP) model, which was developed in a previous work with the aim of predicting the interaction between vessels in ports and waterways, is optimized in this paper by considering the relative position and vessel size (length and beam). The calibration is carried out using AIS data of overtaking vessels in the port of Rotterdam. The sensitivity analysis of the optimal parameters shows the robustness of the calibrated VMP model. For the validation, the optimal parameters are used to simulate the whole path of overtaken vessels and vessels in head-on encounters. Compared to the AIS data, the validation results show that the different deviations in longitudinal direction range from 33 m to 112 m, which is less than 5% of the waterway stretch. Both the calibration and validation show that the VMP model has the potential to simulate vessel traffic in ports and waterways.

KW - Calibration

KW - Head-on encounter

KW - Overtaking encounter

KW - The VMP model

KW - Validation

UR - http://www.scopus.com/inward/record.url?scp=85055981950&partnerID=8YFLogxK

U2 - 10.1016/j.oceaneng.2018.09.022

DO - 10.1016/j.oceaneng.2018.09.022

M3 - Article

VL - 169

SP - 529

EP - 538

JO - Ocean Engineering

T2 - Ocean Engineering

JF - Ocean Engineering

SN - 0029-8018

ER -

ID: 47407547