A Ship Collision Model for Overtaking

Curtis, Robert G.

doi:10.2307/2582567

Cited by 6 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An alternative model for ship get away manoeuvres in confined waters is also the rigid-body dynamic model for ship motion (Yavin et al ., 1994, Yavin et al ., 1995) based on stochastic optimum control (Lewis, 1986). On the other hand, a specialised model for collision free overtaking is proposed (Curtis, 1986).…”

Section: Ship Collision Avoidance Mathematical Models and Algorithmsmentioning

confidence: 99%

Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques

2007

View full text Add to dashboard Cite

This study provides both a spherical understanding about autonomous ship navigation for collision avoidance (CA) and a theoretical background of the reviewed work. Additionally, the human cognitive abilities and the collision avoidance regulations (COLREGs) for ship navigation are examined together with water based collision avoidance algorithms. The requirements for autonomous ship navigation are addressed in conjunction with the factors influencing ship collision avoidance. Humans are able to appreciate these factors and also perform ship navigation at a satisfactory level, but their critical decisions are highly subjective and can lead to error and potentially, to ship collision. The research for autonomous ship navigation may be grouped into the classical and soft computing based categories. Classical techniques are based on mathematical models and algorithms while soft-computing techniques are based on Artificial Intelligence (AI). The areas of AI for autonomous ship collision avoidance are examined in this paper are evolutionary algorithms, fuzzy logic, expert systems, and neural networks (NN), as well as a combination of them (hybrid system).

show abstract

Section: Ship Collision Avoidance Mathematical Models and Algorithmsmentioning

confidence: 99%

Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques

2007

View full text Add to dashboard Cite

show abstract

“…Due to the large number of objects involved, massive parallel computations are now being applied [ 24 ]. In another example, a mathematical model was developed to investigate the collision probability and minimum safe overtaking distance of two vessels at sea [ 25 ]. This model was used to derive a safe overtaking distance dependent on overtaking speed and further vessel characteristics like the radius of turn and response time.…”

Section: Introductionmentioning

confidence: 99%

A tool for simulating collision probabilities of animals with marine renewable energy devices

et al. 2017

View full text Add to dashboard Cite

The mathematical problem of establishing a collision probability distribution is often not trivial. The shape and motion of the animal as well as of the the device must be evaluated in a four-dimensional space (3D motion over time). Earlier work on wind and tidal turbines was limited to a simplified two-dimensional representation, which cannot be applied to many new structures. We present a numerical algorithm to obtain such probability distributions using transient, three-dimensional numerical simulations. The method is demonstrated using a sub-surface tidal kite as an example. Necessary pre- and post-processing of the data created by the model is explained, numerical details and potential issues and limitations in the application of resulting probability distributions are highlighted.

show abstract

“…For these methods, a craft that is navigating in parallel to the observing vessel would not account for risk, as for instance in a traffic separation scheme as defined by the International Maritime Organization (IMO, 2013). However, the navigator's judgement of the risk posed by a neighbouring craft seems to involve factors other than just the geometric calculation of trajectories (Goerlandt and Montewka, 2015; Curtis, 1986). Furthermore, in “many to many” scenarios, where many craft are at risk of colliding with one another, perception of risk seems to become even more complex and depends on how different craft interact with each another and on their particular idiosyncrasies.…”

Section: Introductionmentioning

confidence: 99%

An Ordinal Model of Risk Based on Mariner's Judgement

Lopez-Santander

Lawry

2016

J. Navigation

View full text Add to dashboard Cite

General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. This paper describes a statistical method for learning and estimating the risk posed by other crafts in the vicinity of a vessel and an overview to its possible spatial application, simulating how professional mariners perceive and assess such risk and using navigational data obtained from a standard integrated bridge. We propose a non-linear model for risk estimation which attempts to capture mariners' judgement. Questionnaire data has been collected that captures and quantifies Mariners' judgements of risk for crafts in the vicinity, where each craft is described by measurements that can be obtained easily from the data already present in the ship's navigational equipment. The dataset has then been used for analysis, training and validating Ordered Probit Models in order to obtain a computationally efficient data driven model for estimating the risk probability vector posed by other crafts. Finally, we discuss how this risk model can be incorporated into decision making and path finding algorithms.

show abstract

A Ship Collision Model for Overtaking

Cited by 6 publications

References 0 publications

Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques

Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques

A tool for simulating collision probabilities of animals with marine renewable energy devices

An Ordinal Model of Risk Based on Mariner's Judgement

Contact Info

Product

Resources

About