Intelligent Ship Collision Avoidance Support System Based on the Algorithm of Anthropomorphic Physics

Most of the collision-related decisions of ships at sea depend on the working experience of drivers and determining a reasonable avoidance decision quickly when facing a multivessel encounter situation is difficult, so applying intelligent algorithms to assist these decisions is necessary. On the ba...

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Published inInternational journal of ambient computing and intelligence Vol. 15; no. 1; pp. 1 - 20
Main Authors Feng, Guoxu, Gu, Songbo, Sun, Shihu
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 2024
Subjects
Aeronautics
Algorithms
Analysis
Anthropomorphism
Collision avoidance
Collisions
Decision making
Decision support systems
Marine accidents
Mathematical optimization
Optimization
Optimization algorithms
Physics
Simulation
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ISSN1941-6237
1941-6245
DOI10.4018/IJACI.365340

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Abstract Most of the collision-related decisions of ships at sea depend on the working experience of drivers and determining a reasonable avoidance decision quickly when facing a multivessel encounter situation is difficult, so applying intelligent algorithms to assist these decisions is necessary. On the basis of this, the authors researched the construction of intelligent decision support systems for ship collision avoidance that relies on an anthropomorphic physics optimization algorithm. They used this algorithm to obtain the global range optimal solutions through iteration, which provides effective decisions for ship collision avoidance. The experiments were designed to simulate and analyze the ship collision avoidance decision model. The results showed that the decision-making system based on the anthropomorphic physics optimization algorithm can provide an effective collision avoidance decision scheme.
AbstractList Most of the collision-related decisions of ships at sea depend on the working experience of drivers and determining a reasonable avoidance decision quickly when facing a multivessel encounter situation is difficult, so applying intelligent algorithms to assist these decisions is necessary. On the basis of this, the authors researched the construction of intelligent decision support systems for ship collision avoidance that relies on an anthropomorphic physics optimization algorithm. They used this algorithm to obtain the global range optimal solutions through iteration, which provides effective decisions for ship collision avoidance. The experiments were designed to simulate and analyze the ship collision avoidance decision model. The results showed that the decision-making system based on the anthropomorphic physics optimization algorithm can provide an effective collision avoidance decision scheme.
Audience Academic
Author Feng, Guoxu
Gu, Songbo
Sun, Shihu
AuthorAffiliation Hebei Jiaotong Vocational and Technical College, China
Nanjing University of Aeronautics and Astronautics, China
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  fullname: Sun, Shihu
  organization: Hebei Jiaotong Vocational and Technical College, China
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SubjectTerms Aeronautics
Algorithms
Analysis
Anthropomorphism
Collision avoidance
Collisions
Decision making
Decision support systems
Marine accidents
Mathematical optimization
Optimization
Optimization algorithms
Physics
Simulation
Title Intelligent Ship Collision Avoidance Support System Based on the Algorithm of Anthropomorphic Physics
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