Intelligent Systems for Transport Logistics Optimisation: Algorithms, Architecture, and Legal Aspects
DOI:
https://doi.org/10.5281/zenodo.17550734Keywords:
artificial intelligence, transport logistics, optimisation, distributed architecture, legal regulation, predictive algorithms, data systems.Abstract
The study investigates the development of intelligent systems for optimising transport logistics by combining artificial intelligence (AI) algorithms, distributed data architectures, and legal mechanisms for digital governance. It synthesises research on maritime logistics, geospatial data processing, API-based communication, and AI-assisted decision-making to outline an integrated model for intelligent transportation networks. The analysis emphasises the growing importance of resilient infrastructures and legal interoperability in ensuring reliability and accountability of AI-driven systems. The proposed conceptual framework demonstrates how predictive algorithms, data integration tools, and electronic jurisdiction principles jointly form the foundation of intelligent transport ecosystems capable of adaptive optimisation, real-time monitoring, and lawful automation.
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