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Review of maritime traffic models from vessel behavior modeling perspective. / Zhou, Yang; Daamen, Winnie; Vellinga, Tiedo; Hoogendoorn, Serge.

In: Transportation Research Part C: Emerging Technologies, Vol. 105, 2019, p. 323-345.

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Zhou, Yang ; Daamen, Winnie ; Vellinga, Tiedo ; Hoogendoorn, Serge. / Review of maritime traffic models from vessel behavior modeling perspective. In: Transportation Research Part C: Emerging Technologies. 2019 ; Vol. 105. pp. 323-345.

BibTeX

@article{6c30c4578e86454a89b3113b12a07967,
title = "Review of maritime traffic models from vessel behavior modeling perspective",
abstract = "The importance of maritime transport keeps increasing with the trade globalization. With the growing demand for waterborne transport, vessel traffic flows are also expected to increase. This paper reviews maritime traffic models from the vessel behavior modeling perspective. The maritime traffic models include the models for vessel traffic both at sea and in confined water area. The aim of this paper is to analyze the underlying modeling paradigms and to assess the extent in which maritime traffic models can represent vessel behavior. Focusing on vessel behavior modeling, this paper provides a broad overview of the current literature on maritime traffic models of the last decades. The commercial models are not included due to the limit of information. To compare the capabilities of models in capturing the vessel behavior characteristics, the considered models are assessed from different aspects of vessel behavior representation, external impact modeling, and model applicability. The assessment shows that none of the existing models describe all dynamic kinetic information in detail for different vessels and consider the impacts from a full range of external factors, which is possibly due to the specific purpose when the models were developed. The models developed for specific vessels in specific situations ignore the irrespective behavioral details in other possible scenarios. Models without proper calibration and validation limit the applicability in other cases. It also indicates that few models can accurately simulate the different vessel behavior at a microscopic level. To investigate the possible potential and limitations, the models have been assessed and discussed to indicate the underlying modeling paradigms based on the modeling characteristics. Future developments can focus on the behavior of different vessels in different types of water areas and the corresponding impacts from external conditions (e.g. visibility, wind, current), vessel encounters and traffic rules. Through calibration and validation, future models should be able to fit the vessel behavior in real-life situations.",
keywords = "Assessment, Comparison, Individual behavioral law, Maritime traffic, Simulation model, Vessel behavior",
author = "Yang Zhou and Winnie Daamen and Tiedo Vellinga and Serge Hoogendoorn",
note = "Accepted Author Manuscript",
year = "2019",
doi = "10.1016/j.trc.2019.06.004",
language = "English",
volume = "105",
pages = "323--345",
journal = "Transportation Research. Part C: Emerging Technologies",
issn = "0968-090X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Review of maritime traffic models from vessel behavior modeling perspective

AU - Zhou, Yang

AU - Daamen, Winnie

AU - Vellinga, Tiedo

AU - Hoogendoorn, Serge

N1 - Accepted Author Manuscript

PY - 2019

Y1 - 2019

N2 - The importance of maritime transport keeps increasing with the trade globalization. With the growing demand for waterborne transport, vessel traffic flows are also expected to increase. This paper reviews maritime traffic models from the vessel behavior modeling perspective. The maritime traffic models include the models for vessel traffic both at sea and in confined water area. The aim of this paper is to analyze the underlying modeling paradigms and to assess the extent in which maritime traffic models can represent vessel behavior. Focusing on vessel behavior modeling, this paper provides a broad overview of the current literature on maritime traffic models of the last decades. The commercial models are not included due to the limit of information. To compare the capabilities of models in capturing the vessel behavior characteristics, the considered models are assessed from different aspects of vessel behavior representation, external impact modeling, and model applicability. The assessment shows that none of the existing models describe all dynamic kinetic information in detail for different vessels and consider the impacts from a full range of external factors, which is possibly due to the specific purpose when the models were developed. The models developed for specific vessels in specific situations ignore the irrespective behavioral details in other possible scenarios. Models without proper calibration and validation limit the applicability in other cases. It also indicates that few models can accurately simulate the different vessel behavior at a microscopic level. To investigate the possible potential and limitations, the models have been assessed and discussed to indicate the underlying modeling paradigms based on the modeling characteristics. Future developments can focus on the behavior of different vessels in different types of water areas and the corresponding impacts from external conditions (e.g. visibility, wind, current), vessel encounters and traffic rules. Through calibration and validation, future models should be able to fit the vessel behavior in real-life situations.

AB - The importance of maritime transport keeps increasing with the trade globalization. With the growing demand for waterborne transport, vessel traffic flows are also expected to increase. This paper reviews maritime traffic models from the vessel behavior modeling perspective. The maritime traffic models include the models for vessel traffic both at sea and in confined water area. The aim of this paper is to analyze the underlying modeling paradigms and to assess the extent in which maritime traffic models can represent vessel behavior. Focusing on vessel behavior modeling, this paper provides a broad overview of the current literature on maritime traffic models of the last decades. The commercial models are not included due to the limit of information. To compare the capabilities of models in capturing the vessel behavior characteristics, the considered models are assessed from different aspects of vessel behavior representation, external impact modeling, and model applicability. The assessment shows that none of the existing models describe all dynamic kinetic information in detail for different vessels and consider the impacts from a full range of external factors, which is possibly due to the specific purpose when the models were developed. The models developed for specific vessels in specific situations ignore the irrespective behavioral details in other possible scenarios. Models without proper calibration and validation limit the applicability in other cases. It also indicates that few models can accurately simulate the different vessel behavior at a microscopic level. To investigate the possible potential and limitations, the models have been assessed and discussed to indicate the underlying modeling paradigms based on the modeling characteristics. Future developments can focus on the behavior of different vessels in different types of water areas and the corresponding impacts from external conditions (e.g. visibility, wind, current), vessel encounters and traffic rules. Through calibration and validation, future models should be able to fit the vessel behavior in real-life situations.

KW - Assessment

KW - Comparison

KW - Individual behavioral law

KW - Maritime traffic

KW - Simulation model

KW - Vessel behavior

UR - http://www.scopus.com/inward/record.url?scp=85067000947&partnerID=8YFLogxK

U2 - 10.1016/j.trc.2019.06.004

DO - 10.1016/j.trc.2019.06.004

M3 - Review article

AN - SCOPUS:85067000947

VL - 105

SP - 323

EP - 345

JO - Transportation Research. Part C: Emerging Technologies

JF - Transportation Research. Part C: Emerging Technologies

SN - 0968-090X

ER -

ID: 54763609