Autonomous fleet management system in smart ports: Practical design and analytical considerations

Rui Chen , Jing Zhang , Hua Wang
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Abstract

Automated horizontal transportation in container terminals represents a significant advancement in the field of autonomous commercial vehicles. Traditionally, these systems rely on the individual intelligence of each vehicle, similar to autonomous passenger vehicles. However, recent uses of automated technology in select container terminals have demonstrated the benefits of integrating vehicles with a centralized Autonomous Fleet Management System (AFMS). This collaboration not only mitigates information silos but also enhances operational efficiency, safety, and fosters fleet cluster intelligence. This study examines current applications in automated container terminals, analyses practical scenarios, and identifies the essential characteristics of an effective AFMS to support horizontal transportation management. The insights from this comprehensive analysis assist port operators in designing and operating their systems and help scholars better understand and define research questions in this field.
智能港口的自主船队管理系统:实际设计和分析考虑
集装箱码头的自动水平运输代表了自动商用车领域的重大进步。传统上,这些系统依赖于每辆车的个人智能,类似于自动驾驶乘用车。然而,最近在特定集装箱码头使用的自动化技术已经证明了将车辆与集中式自动车队管理系统(AFMS)集成的好处。这种合作不仅减轻了信息孤岛,还提高了运营效率、安全性,并促进了舰队集群智能。本研究考察了自动化集装箱码头的当前应用,分析了实际场景,并确定了有效的AFMS的基本特征,以支持横向运输管理。这一综合分析的见解有助于港口运营商设计和操作他们的系统,并帮助学者更好地理解和定义该领域的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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