Yihan Liu

This research investigates the transformative potential of automation technologies across ports of varying scales, from small and medium-sized facilities to global hubs. With the increasing complexity of maritime logistics, the integration of advanced technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), digital twins, and 5G-enabled communication systems is redefining operational paradigms in port management. These innovations aim to enhance efficiency, safety, and environmental sustainability while addressing unique challenges posed by diverse port scales and operational contexts.

The study adopts a multi-phase methodology to evaluate the state-of-the-art in port automation, develop simulation-based frameworks, and validate solutions through experimental trials. Comprehensive literature reviews will map current advancements and identify gaps in automation technologies. Unity AGX-based simulation models will analyze critical port operations, such as cargo handling and resource allocation, under realistic conditions. The transition from remote-controlled systems to fully autonomous operations will be experimentally validated at key sites, ensuring practical applicability and scalability of proposed solutions.

Outcomes are expected to inform a robust, adaptable framework for global port automation, balancing operational efficiency with economic and environmental considerations. This research aims to bridge the automation gap across ports, contributing to the development of smarter, more sustainable maritime logistics systems worldwide.