Dynamic Games Methods in Synthesis of Safe Ship Control Algorithms

Lisowski, Józef

doi:10.1155/2018/7586496

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…This model enables the simulation of navigators' collision-avoidance operations and decision-making processes based on COLREGS. Lisowski [27] introduced a ship collision-avoidance decision-making model for multi-ship encounters, which integrates theories of dynamic games, multi-stage position games, and multi-step matrix games for ship motion control. It considers the relative motions of multiple ships during collision avoidance and determines the optimal timing for proactive control.…”

Section: Introductionmentioning

confidence: 99%

A Construction Method of a Sequential Decision Chain for Unmanned-Ship Autonomous Collision Avoidance Based on Human-Like Thinking

Wang,

Wang

et al. 2023

JMSE

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As one of the key technologies restricting the development of intelligent ships, autonomous collision avoidance has attracted the attention of many scholars all over the world. Existing research on collision-avoidance behavior focuses more on collision risk assessment and local path-planning methods for studies on the human-like sequential logic of the whole collision-avoidance process, as well as the decision-making process of various stages. Further in-depth thinking is needed urgently. Based on this, a construction method of a human-like sequential decision chain for the autonomous collision avoidance of unmanned ships is proposed through the construction of a collision-avoidance rule base and strategy set, efficient data access based on the Knowledge Graph concept, global collision risk assessment considering sequential decision process, and the construction of a complete collision-avoidance logic process to simulate the decision-making process of humans in complex multi-ship encounters in open waters. For multi-ship encounter scenarios, considering the sequential decision-making process of collision avoidance, a method was proposed to divide the collision risk of the target ship into direct collision risk and potential collision risk. The validity and reliability of the constructed sequential decision chain are verified by simulation experimental results. The results show that the method is effective for collision avoidance (especially multi-ship collision avoidance) in open waters and can provide a theoretical basis and technical support with good interpretability for the decision-making process of an unmanned ship’s autonomous collision avoidance.

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Section: Introductionmentioning

confidence: 99%

A Construction Method of a Sequential Decision Chain for Unmanned-Ship Autonomous Collision Avoidance Based on Human-Like Thinking

Wang,

Wang

et al. 2023

JMSE

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show abstract

“…There are currently many methods to plan a collision avoidance path. For example, Lisowski (2018) applied differential games for collision avoidance planning. Additionally, evolutionary computation methods have been used to find the optimal path (Szlapczynski and Szlapczynska, 2012), and genetic, artificial potential fields and particle swarm optimisation algorithms have been applied to find the optimal path in automatic collision avoidance (Kang et al, 2018; Ni et al, 2018; Lyu and Yin, 2019).…”

Section: Introductionmentioning

confidence: 99%

Distributed Multi-Objective Algorithm for Preventing Multi-Ship Collisions at Sea

Wang

Guan

et al. 2020

J. Navigation

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Avoidance of collisions at sea is crucial to navigational safety. In this paper, we use a distributed algorithm to communicate the entire collision avoidance trajectory information for each ship. In each communication, we suggest a new improvement function considering safety and efficiency to identify the avoidance ship in each cycle. Considering the nonlinear collision avoidance trajectory of ships, a new method for calculating the degree of danger using a velocity obstacle algorithm is proposed. Therefore, in each communication, each ship considers the avoidance behaviours of other ships in planning its avoidance trajectory. Additionally, we combine bi-criterion evolution (BCE) and the ant lion optimiser to plan the entire collision avoidance path. Three scenarios are designed to demonstrate the performance of this method. The results show that the proposed method can find a suitable collision-free solution for all ships.

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Simulation Environment in Python for Ship Encounter Situations

Stolzmann,

Szlapczynska

2023

TransNav

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Dynamic Games Methods in Synthesis of Safe Ship Control Algorithms

Cited by 3 publications

References 31 publications

A Construction Method of a Sequential Decision Chain for Unmanned-Ship Autonomous Collision Avoidance Based on Human-Like Thinking

A Construction Method of a Sequential Decision Chain for Unmanned-Ship Autonomous Collision Avoidance Based on Human-Like Thinking

Distributed Multi-Objective Algorithm for Preventing Multi-Ship Collisions at Sea

Simulation Environment in Python for Ship Encounter Situations

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