Yousra Melhaoui, A. Allal, Abdelali Kamil, K. Mansouri, M. Rachik
{"title":"Toward an overview of ship collision avoidance maneuvers approaches in compliance with COLREG convention","authors":"Yousra Melhaoui, A. Allal, Abdelali Kamil, K. Mansouri, M. Rachik","doi":"10.1109/ICOA.2019.8727687","DOIUrl":null,"url":null,"abstract":"For decades, the calculus and optimization of ship’s navigation without collision risks presents a major issue for the maritime domain. The continuous increasing of maritime traffic rends the mitigation of this risk a challenge for the scientific researches’ community. The safety researchers are called to cope with the complexity of safe ship routing optimization. Several solutions are proposed to enhance maritime safety. The topic is covered using different approaches. These approaches consist of studying the conflict problem as an optimal control problem with state constraints, calculating risks of collisions in ocean navigation by stochastic methods and also, optimization of marine navigation using evolutionary and genetic algorithms. This paper is focused on a comparative study of these approaches. In order to highlight the advantages of each approach as its limitations.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2019.8727687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
For decades, the calculus and optimization of ship’s navigation without collision risks presents a major issue for the maritime domain. The continuous increasing of maritime traffic rends the mitigation of this risk a challenge for the scientific researches’ community. The safety researchers are called to cope with the complexity of safe ship routing optimization. Several solutions are proposed to enhance maritime safety. The topic is covered using different approaches. These approaches consist of studying the conflict problem as an optimal control problem with state constraints, calculating risks of collisions in ocean navigation by stochastic methods and also, optimization of marine navigation using evolutionary and genetic algorithms. This paper is focused on a comparative study of these approaches. In order to highlight the advantages of each approach as its limitations.