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AIS Data-based Decision Model for Navigation Risk in Sea Areas

机译:基于AIS数据的海域航行风险决策模型

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摘要

The safety of maritime transportation has become increasingly important in recent decades. In this paper, a decision model (a multi-objective and multi-layer fuzzy optimisation model) for navigation risk in different sea areas is established. This is done according to the evaluation index system based on relative data extracted and analysed from Automatic Identification Systems (AIS) information and the multi-objective and multi-layer fuzzy optimisation theory. Then, sorted by an optimal relative membership degree vector and calculated from lower layer to higher layer, the sea areas which have higher navigation risk are selected. Finally, the decision model is shown to be scientific and practical since the results from it are basically consistent with real traffic in Chengshantou waters and the results from the fuzzy comprehensive evaluation model. With the decision model, navigation risk judgments in different sea areas can be offered. It can also provide decision making references to the design of ship routing systems, the layout of search and rescue sites, the configuration of rescue forces and the administration of navigation safety.
机译:近几十年来,海上运输的安全性变得越来越重要。建立了不同海域航行风险的决策模型(多目标,多层模糊优化模型)。这是根据基于从自动识别系统(AIS)信息中提取和分析的相关数据以及多目标和多层模糊优化理论的评估指标体系完成的。然后,通过最佳相对隶属度矢量进行排序并从低层到高层进行计算,选择具有较高航行风险的海域。最后,由于决策模型的结果与城山头水域的实际交通量以及模糊综合评价模型的结果基本吻合,因此决策模型具有科学性和实用性。利用决策模型,可以提供不同海域的航行风险判断。它还可以为船舶选路系统的设计,搜索和救援地点的布局,救援部队的配置以及航行安全管理提供决策参考。

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