Research on Navigation Safety Evaluation of Coastal Waters Based on Dynamic Irregular Grid

Abstract

Despite being a minor probability event, marine accidents can cause serious consequences such as casualties, environmental damage, and even massive economic losses. As an important part of the marine traffic safety system, the evaluation of navigation safety in coastal waters is of great significance to ensure the safety of ship navigation. In order to objectively evaluate the safety of navigation, this paper proposes an irregular grid division method that combines influencing factors including seabed topography, ship traffic flow, electronic charts, and marine meteorology. In this work, the navigable boundary was extracted by spatial analysis algorithms of the slope calculation. Based on the alpha-shape algorithm and the Voronoi diagram, the constrained Delaunay triangulation was used to extract the inner and outer boundaries of the ship′s navigation area, and the time-varying factors of marine hydrology and meteorology were integrated to form a dynamic irregular grid. The navigation safety evaluation indicators in coastal waters were divided into five risk levels, namely lower, low, medium, high, and higher. Then, the entropy weight theory was used to calculate the weight of the evaluation index. Finally, a safety evaluation model was constructed to evaluate the risk of navigation safety in coastal waters. Herein, taking the coastal waters of Lianyungang Port as a demonstration area, this paper divided the dynamic irregular grid and conducted the navigation safety analysis and evaluation based on the grid. The experimental results show that our method fully considers the influence of objective factors and the uncertainty of safety evaluation indicators and has favorable adaptability to the evaluation of navigation safety in coastal waters.

The Analysis of Intelligent Functions Required for Inland Ships

“…The model takes into account the relationship between the adaptive risk of the selected crossing gap and the collision risk of the conflict point, which can reduce the ship operation risk from the source of risk development. Bi et al [34], using the alpha-shape algorithm and Voronoi diagram, categorized safety assessment indicators for coastal waters into five risk levels: very low, low, moderate, high, and very high. They then applied entropy weight theory to calculate the weights of evaluation indicators, establishing a model for assessing safety risks in coastal waters that fully considers the impact of objective factors and the uncertainty of safety assessment indicators.…”

Improved DQN for Dynamic Obstacle Avoidance and Ship Path Planning

“…If specific geometric details and paths need to be considered, the path planning method based on free space is essential. The commonly used methods include the visual graph method [21] and the grid method [22].…”

Exploring the Pirate Attack Process Risk along the Maritime Silk Road via Dynamic Bayesian Network Analysis

“…However, in reality, risks are constantly changing. To study real-time risks more accurately, Bi et al [19] used dynamic irregular grids to analyze and evaluate navigation safety. Li et al [20,21] and Guo et al [22] proposed using DBN to study risk evolution.…”