PI and Blockchain for optimised door-to-door Asia-Europe corridors – Mediterranean Corridor

LL1 will evaluate how new technologies (IoT, AI and blockchain) and concepts (Physical Internet) can improve processes, operations and efficiency along the door-to-door transport chains linking the Maritime Silk Road with EU internal corridors. LL1 will be divided in to two main use cases:

The first use case will focus on import/export door-to-door transport chain of containerized cargo between China and Spain and will evaluate how the combination of IoT (for real-time monitoring of logistics assets), AI (for better forecasts and intelligent decisions based on machine learning algorithms) and blockchain (for paperless transactions and the register of transport events), can contribute to a better management of the transport chain.

The development of the PI paradigm will be investigated, where intelligent logistic nodes or hubs play a key role in transport decisions and are optimized based on real time events/information and historical data.

The second use case will focus on warehouse operations and will explore how new IoT, AI, AR and automation technologies can contribute to the development of intelligent automated logistics nodes of the Integrated Green EU-Global T&L Network (EGTN) and Physical Internet (PI) network. This use case will complement Use Case 1, particularly on how to integrate smart Warehouse Nodes for EGTN routing decisions, ultimately creating PI Warehousing Nodes. The extended level of potential automation will be represented through simulation.

PARTICIPANTS: COSCO SHIPPING Lines (Spain) S.A, COSCO SHIPPING Technology (Beijing), Jing Dong (JD) Logistics, FundaciĆ³n Valenciaport, DHL Supply Chain Spain and CityLogin


Three Living Labs (including the ports of Valencia, Rotterdam, etc.) will contribute to the strategic analysis of global flows (based on the corridors where they are located), the analysis of corridor infrastructure issues, and the investigation of integration of the respective global corridor with the TEN-T.

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