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

Survey on Cooperative Control for Waterborne Transport

“…Even for a vessel, its dynamics can vary with different loads. Moreover, the motion of vessels is strongly influenced by external disturbances, such as wind, wave, and current [15]. How a controller can be robust against disturbances is also a challenging problem.…”

Review of Ship Behavior Characteristics in Mixed Waterborne Traffic

“…A solution framework to support situation awareness in a mixed environment is considered by Perera et al [12]. The review on ship behavior established a generic behavior identification model, but which did not consider the behavioral differences of different ship types under specific external environmental constraints [13]. A behavioral clustering-based classification for harbor ships using Automatic Identification System (AIS) data is proposed in a subsequent study [14].…”

A cellular automaton-based model of ship traffic flow in busy waterways

“…The applications of CA modelling are very diverse in transportation fields ranging from motor vehicles, bicycles, pedestrians, trains, airplanes and ships (Naito and Nagatani, 2012; Rahman et al, 2013; Chen et al, 2019c; Yi et al, 2020), but research on ship traffic flow based on CA modelling is in its infancy and there have so far been very few research achievements. However, the related theories and applications have developed rapidly (Huang et al, 2019; Zhou et al, 2019).…”

“…Ship traffic flow has some unique characteristics, and therefore models based on motor vehicles, bicycles or pedestrians cannot be directly used for the modelling of ship traffic flow. These characteristics should be taken into account for a CA-based ship traffic flow model (Xu et al, 2014; Sun et al, 2015; Zhou et al, 2019). Some of the characteristics have been considered; for example, the ratio of the width of a waterway to the width of a ship is relatively larger than the ratio of a roadway to that of a vehicle, the navigation of a ship is greatly affected by meteorological and hydrological conditions, etc.…”