IEEE Access (Jan 2024)

Connected and Intelligent Framework for Vehicle Automation in Smart-Ports

  • Myriam E. Vaca-Recalde,
  • Mauricio Marcano,
  • Jose Matute,
  • Carlos Hidalgo,
  • Belen Martinez-Rodriguez,
  • Sonia Bilbao-Arechabala,
  • Fernando Jorge-Hernandez,
  • Jesus Murgoitio,
  • Joshue Perez Rastelli,
  • Javier Santaella,
  • Andres Camacho

DOI
https://doi.org/10.1109/ACCESS.2024.3434628
Journal volume & issue
Vol. 12
pp. 120347 – 120361

Abstract

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The increase in maritime traffic due to the globalization of trade has led to an exponential growth in logistics operations and port traffic management is becoming increasingly complicated. The need to improve the efficiency, safety, and sustainability of operations is leading to a strong demand for automation in port processes. A significant challenge is the optimization and automation of loading and unloading systems, given their complexity and repetitive nature. Advances in automated systems, through ongoing research and application in various transportation scenarios, are addressing these challenges. However, automating vehicles alone is insufficient; it is also important to have a connected, infrastructure-based collaborative framework to manage the complex logistics of port operations effectively and in a synchronized manner. In this sense, ESTIBA+2022, a Spanish-funded project, is addressing this challenge, aiming to develop strategic technologies for Smart-Ports. Its goal is to design and validate a scalable collaborative framework that meets the specifications and functions of port services using Industry 4.0 technologies and advanced wireless communications through Connected Intelligent Transportation Systems (C-ITS). This article presents the proposed architecture and its validation in the comprehensive use case of the project, focusing on communication from the supervision platform to Automated Guided Vehicles (AGVs) to ensure optimal traffic flow and management in ports. Specifically, the scenario involves three different forklifts equipped with an On-Board Unit (OBU) that interact with each other and the infrastructure via Roadside Units (RSU). The outcome of the project shows that the framework can meet the requirements for Smart-Port logistics, showing the feasibility of the implementation with a collaborative maneuver between three forklifts, a supervision station, and connected traffic lights.

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