Probabilistic Assessment of Vessel Collision Risk: An Evidential Reasoning and Artificial Potential Field-Based Method

Feng Ma () and Yu-Wang Chen ()
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Feng Ma: Wuhan University of Technology
Yu-Wang Chen: The University of Manchester

Chapter Chapter 6 in Multi-Criteria Decision Making in Maritime Studies and Logistics, 2018, pp 123-149 from Springer

Abstract: Abstract This chapter proposes a novel method to estimate the collision probabilities of monitoring targets for coastal radar surveillance. Initially, the probability of a monitoring target being a real moving vessel is estimated using the records of manual operations and the Evidential Reasoning (ER) rule. Subsequently, the bridges, piers and other encountering vessels in a waterway are characterized as collision potential fields using an Artificial Potential Field (APF) model, and the corresponding coefficients can be trained in terms of the historical vessel distributions. As a result, the positional collision potential of any monitoring vessel can be obtained through overlapping all the collision potential fields together. The probabilities of authenticity and the collision potential are further formulated as two pieces of evidence on which the Dempster’s rule of combination is used to reason the collision probability of a monitoring target. The vessels associated with high collision probabilities can be highlighted for supervisors’ attention, as they potentially pose high risks to safety. A preliminary field test was conducted to validate the proposed method.

Keywords: Dempster’s rule; Vessel collision risk; Artificial Potential Field; Nonlinear optimization; Evidential Reasoning-based Method (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-62338-2_6

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DOI: 10.1007/978-3-319-62338-2_6

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