Smart Port Concept: A Case Study of Port-Integrated Autonomous Networks

The article explores the concept of a Port-Integrated Autonomous Network (PIAN) as a systemic model of the digital transformation of seaports in the context of innovative technologies. The PIAN combines autonomous port operations, distributed artificial intelligence, global blockchain document management, predictive analytics tools, and sustainable ecosystems. The article presents several mathematical models - phase implementation (PRM), stakeholder collaboration (SCM), and continuous innovation (CIM) - that allow for the optimization of efficiency, reduction of risks, and consideration of communication costs. The author identifies key technological components of smart ports, including autonomous equipment, digital platforms, sensor infrastructure, predictive maintenance, and intelligent traffic management systems. Special attention is paid to the legal aspects of implementation, particularly challenges in cybersecurity and regulatory compliance (GDPR, etc.). Based on the analytical model, a roadmap for the gradual introduction of technologies in ports with different readiness levels is proposed, allowing PIAN to be adapted to the specifics of local conditions. The article forms a theoretical and methodological basis for port administrations and logistics operators seeking to improve port infrastructure’s efficiency, flexibility, and sustainability in the maritime industry’s digital transformation context.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15309351
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Port Concept: A Case Study of Port-Integrated Autonomous Networks

Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
article

Smart Port Concept: A Case Study of Port-Integrated Autonomous Networks

article en

Abstract

The article explores the concept of a Port-Integrated Autonomous Network (PIAN) as a systemic model of the digital transformation of seaports in the context of innovative technologies. The PIAN combines autonomous port operations, distributed artificial intelligence, global blockchain document management, predictive analytics tools, and sustainable ecosystems. The article presents several mathematical models - phase implementation (PRM), stakeholder collaboration (SCM), and continuous innovation (CIM) - that allow for the optimization of efficiency, reduction of risks, and consideration of communication costs. The author identifies key technological components of smart ports, including autonomous equipment, digital platforms, sensor infrastructure, predictive maintenance, and intelligent traffic management systems. Special attention is paid to the legal aspects of implementation, particularly challenges in cybersecurity and regulatory compliance (GDPR, etc.). Based on the analytical model, a roadmap for the gradual introduction of technologies in ports with different readiness levels is proposed, allowing PIAN to be adapted to the specifics of local conditions. The article forms a theoretical and methodological basis for port administrations and logistics operators seeking to improve port infrastructure’s efficiency, flexibility, and sustainability in the maritime industry’s digital transformation context.

Zenodo (CERN European Organization for Nuclear Research)
California Maritime Academy (US), Institute of Information Technologies (BG), State University of Infrastructure and Technologies, National University «Odesa Maritime Academy», Odessa National Maritime University (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Species Distribution and Climate Change
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