Objective
HOLGISTICS will pilot and demonstrate innovative open standard logistics solutions and technologies which accelerate freight transport decarbonisation while increasing operational efficiency and flexibility, ensuring logistics networks are cost effective and competitive, taking account of externalities. The project will scale up collaborative solutions for multimodal logistics nodes and networks, enhancing digital and physical interoperability, supported by effective business and governance models, and facilitating increased use of zero emission vehicles and vessels.
This will lead to major reductions in GHG emissions in the logistics networks, supporting the 2030 Climate Target Plan to reduce emissions by 55%. Logistics supply chain performance will be further improved via a Physical Internet approach, synchromodality and models which drive pooling, resource sharing and optimisation of capacity utilisation across modes.
A wide range of processes, procedures and services in multiple logistics nodes and operations across Europe will be implemented, enhancing innovations and technologies developed in previous Horizon projects, and magnifying the benefits of ongoing CEF investments.
These include: AI, IoT, synchromodal logistics algorithms, interoperability using shared standardised boxes/containers, automation and autonomous systems, new business models and solutions for increased use of zero emission transport, semantic models for collaborative data sharing, Digital Twins, advanced simulation and visualisation solutions, resource sharing and pooled logistics models and innovative inventory strategies that enable increased use of greener transport. Open access definition and seamless interaction will be prioritised, enabling all players including SMEs to participate, exploiting the DTLF data sharing framework to ensure scalability and compliance with the ongoing development of the common European mobility data space and achieving TRL 7 by the end of the project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesinternetinternet of things
- social sciencessociologygovernance
- social sciencessociologyindustrial relationsautomation
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Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
41121 Modena
Italy
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Participants (24)
40136 Bologna
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
20133 Milano
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RG45 6LS Crowthorne
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4202 MS Gorinchem
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1083 HN AMSTERDAM
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2500 Maribor
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13002 Marseille 2
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6000 Koper
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40789 MONHEIM AM RHEIN
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1000 Ljubljana
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10111 Tallinn
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LV-1019 RIGA
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111 41 ATHENS
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1363 Hovik
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1000 196 Lisboa
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40051 MALALBERGO
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1000 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
41460 NEUSS
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40127 Bologna
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57439 ATTENDORN
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00130 Helsinki
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04103 Leipzig
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7461 TX Rijssen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1000 Bruxelles / Brussel
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Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
4052 Basel
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