A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
- PMID: 34300481
- PMCID: PMC8309524
- DOI: 10.3390/s21144741
A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
Abstract
The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA) simulation-based modelling approach the objective of which is to analyze and evaluate real-time maritime traffic risks in port environments. The first component is the design of a CA model to monitor ships' behavior and maritime fairway traffic. The second component is the refinement of the modelling approach by combining a cloud model with expert knowledge. The third component establishes a risk assessment model based on a fuzzy comprehensive evaluation. A typical scenario was experimentally implemented to validate the model's efficiency and operationality.
Keywords: VTS; cellular automata; risk appraisal; traffic prediction; traffic simulation.
Conflict of interest statement
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analysis, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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