Inference processes in the automatic communication system for autonomous vessels

Author:

Pańka AnnaORCID,Wołejsza PiotrORCID

Abstract

The era of autonomous ships has already begun in maritime transport. The 30-year forecast for the development of marine technologies predicts many autonomous vessels at sea. This will necessitate radical implementation of new intelligent maritime navigation systems. One of the intelligent systems that has to be implemented is a collision avoidance system. The inference process is a key element of autonomous manoeuvres. These authors propose an inference process that enables exchange of information, intentions and expectations between autonomous vessels and gives them an opportunity to negotiate a safe manoeuvre satisfying all the parties concerned. The model of inference in the communication process has been presented. Methods and algorithms for information exchange and negotiation have been developed. These models were implemented and tested under various conditions. The results of case studies indicate that it is possible to effectively communicate and negotiate used the developed method. To demonstrate the effectiveness of the presented approach over 30 random simulations have been carried out. After successful laboratory tests, over 100 scenarios were executed in quasi-real conditions and fully operational conditions. Tests were carried out in the center of the Foundation for the Safety of Navigation and Environmental Protection on Lake Silm in Iława, Poland. In the framework of project AVAL (Autonomous Vessel with an Air Look) POIR.04.01.04-00-0025-16,  82 random scenarios involving four vessels were performed and 60 random scenarios with two vessels. In 2020 tests were carried out in real conditions on the ferries Wolin and m/f Gryf. The communication and negotiation system presented in the article has been designed and developed specially for maritime navigation purposes. The authors believe that the presented solution can be one of various solutions implemented in autonomous shipping in the near future.

Publisher

Politechnika Warszawska - Warsaw University of Technology

Subject

Transportation,Automotive Engineering

Reference47 articles.

1. ASTAT - Autonomous Ship Transport at Trondheimsfjorden, http://astat.autonomous-ship.org/, accessed 01-06-2022.

2. AVAL 2021. Autonomous Vessel with an Air Look, http://212.33.90.155/ accessed 01-06-2022.

3. Amro A, Gkioulos V, Katsikas S., (2021). Communication architecture for autonomous passenger ship. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. https://doi.org/10.1177/1748006X211002546.

4. Bahamas Maritime Authority, (2016). THE COMMONWEALTH OF THEBAHAMAS, https://www.bahamasmaritime.com/wp-content/uploads/2020/10/BMA-Investigation-Report-Collision-between-the-Baltic-Ace-and-Corvus-J.pdf. accessed on 01-06-2022.

5. Ballstad, (2018). Concept development autonomous passenger ferry Ballstad, https://www.lofotenmatpark.no/portefoljer/53-forstudium-autonom-ferge-ballstadlandet-ballstadoya, accessed 01-06-2022.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3