{"title":"A Collision Avoidance Manoeuvre and Ship Domain Based Model for Identifying Collision Risk Index between Ships","authors":"Zihao Liu, Zhaolin Wu, Zhongyi Zheng","doi":"10.1109/ICSRS48664.2019.8987698","DOIUrl":null,"url":null,"abstract":"Collision is one of the major accidents threaten the safety of navigation. For avoiding collision, collision risk index is researched and modeled for automatic collision avoidance and collision risk monitoring. This paper proposed a new collision risk index model. The model was based on the collision avoidance manoeuvre of course alteration, which represent the collision risk by calculating the amplitude of alteration that avoid invading ship domain of target ship. Additionally, another collision avoidance manoeuver, which is speed reduction, was incorporated into the model and was combined with course alteration by fuzzy logic. For validating the effectiveness, the AIS data of Northern Yellow Sea were used for experiments. The results showed that the collision risk between ships can be effectively represented by the proposed model. In addition, the advantage of the proposed model was verified by comparing with the danger sector model. The proposed model can be used in automatic collision avoidance system and can provide assistance to maritime surveillance operators in collision risk monitoring, which will make contribution to the navigational safety.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on System Reliability and Safety (ICSRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSRS48664.2019.8987698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Collision is one of the major accidents threaten the safety of navigation. For avoiding collision, collision risk index is researched and modeled for automatic collision avoidance and collision risk monitoring. This paper proposed a new collision risk index model. The model was based on the collision avoidance manoeuvre of course alteration, which represent the collision risk by calculating the amplitude of alteration that avoid invading ship domain of target ship. Additionally, another collision avoidance manoeuver, which is speed reduction, was incorporated into the model and was combined with course alteration by fuzzy logic. For validating the effectiveness, the AIS data of Northern Yellow Sea were used for experiments. The results showed that the collision risk between ships can be effectively represented by the proposed model. In addition, the advantage of the proposed model was verified by comparing with the danger sector model. The proposed model can be used in automatic collision avoidance system and can provide assistance to maritime surveillance operators in collision risk monitoring, which will make contribution to the navigational safety.