Integration and Harmonization of Logistics Operations

Climate, Energy & MobilityHORIZON-IAID: 101104278
EC Contribution
โ‚ฌ77,437
Consortium Size
30 orgs
Start Year
2023
โ–ถSummary

Logistics industry is facing continuous and significant challenges during the recent years. The trend is the adoption of intelligent services for increasing the performance of the provided systems and synchromodal operations. Transfers and deliveries can benefit from the use of novel business models that adopt the aforementioned intelligent services when the optimization of the use of shared resources is the core target and become the basis for the provision of a climate friendly infrastructure. The goal of synchromodal operations and the integration of heterogeneous logistics services is the reduction of current transfers in order to reduce the carbon footprint while securing the uninterrupted deliveries and the resilience to any disruptive event. TRACE targets to the aforementioned integration activities offering a universal platform with functionalities related to planning, scheduling, optimization and events management as well as the use of blockchain technology to facilitate the real time conclusion of smart contracts and financial operations, thus, becoming one of the first attempts to provide an โ€˜intelligent coverโ€™ upon the current logistics frameworks. TRACE envisions real demonstrators in different European countries with different goals that start from transportations with the use of shared resources, the disruptive events detection and re-scheduling of transfers while concluding with the use of unmanned vehicles to automate the last mile deliveries. TRACE also proposes new transfer corridors, safe areas where unmanned vehicles can collect items towards the final destination and new (virtual) hubs. TRACE will perform studies related to the barriers towards the new logistics era, the new business opportunities, the requirements for the legislation and regulatory frameworks and expose the benefits of the proposed approach in terms of the reduction for energy demand and emissions while limiting the operational costs for logistics stakeholders.

Consortium (30)

๐Ÿ‡ฌ๐Ÿ‡ท ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINONGR
coordinator
๐Ÿ‡จ๐Ÿ‡พ A.C CODEWHEEL LTDCY
partner
๐Ÿ‡ฌ๐Ÿ‡ท ACS TACHIDROMIKES IPIRESIES ANONYMIEMPORIKI ETAIREIAGR
partner
๐Ÿ‡ธ๐Ÿ‡ฎ AV LIVING LAB, INOVATIVNE TEHNOLOGIJE DOOSI
partner
๐Ÿ‡ฎ๐Ÿ‡น COMUNE DI MODENAIT
partner
๐Ÿ‡จ๐Ÿ‡ญ CSEM CENTRE SUISSE D'ELECTRONIQUE ET DE MICROTECHNIQUE SA - RECHERCHE ET DEVELOPPEMENTCH
partner
๐Ÿ‡ฎ๐Ÿ‡น DIFLY SRLIT
partner
๐Ÿ‡ฒ๐Ÿ‡น EPSILON INTERNATIONAL LTDMT
partner
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
partner
๐Ÿ‡ฎ๐Ÿ‡น FONDAZIONE ISTITUTO SUI TRASPORTI E LA LOGISTICAIT
partner
๐Ÿ‡ฌ๐Ÿ‡ท HELLENIC TRAIN - ANONYMI SIDIRODROMIKI ETAIREIAGR
partner
๐Ÿ‡ฑ๐Ÿ‡บ INCITES CONSULTING SALU
partner
๐Ÿ‡ฎ๐Ÿ‡น ISTITUTO DI SOCIOLOGIA INTERNAZIONALE DI GORIZIAIT
partner
๐Ÿ‡ฑ๐Ÿ‡บ NETCOMPANY S.A.LU
partner
๐Ÿ‡ฎ๐Ÿ‡น ONE LESS VAN SRLIT
partner
๐Ÿ‡ฌ๐Ÿ‡ท ORGANISMOS TILEPIKOINONION TIS ELLADOS OTE AEGR
partner
๐Ÿ‡ฌ๐Ÿ‡ท PANEPISTIMIO THESSALIASGR
partner
๐Ÿ‡ฌ๐Ÿ‡ท POLYTECHNEIO KRITISGR
partner
๐Ÿ‡ธ๐Ÿ‡ฎ POSTA SLOVENIJE DOOSI
partner
๐Ÿ‡ช๐Ÿ‡ช QLOUD TECHNOLOGIES OรœEE
partner
๐Ÿ‡ช๐Ÿ‡ธ ROBOTNIK AUTOMATION SLES
partner
๐Ÿ‡จ๐Ÿ‡พ SIDROCO HOLDINGS LIMITEDCY
partner
๐Ÿ‡ฎ๐Ÿ‡น SPINITALIA SRLIT
partner
๐Ÿ‡ฆ๐Ÿ‡น TECHNISCHE UNIVERSITAET WIENAT
partner
๐Ÿ‡ฌ๐Ÿ‡ท UNI SYSTEMS SYSTIMATA PLIROFORIKIS MONOPROSOPI ANONYMI EMPORIKI ETAIRIAGR
partner
๐Ÿ‡ฑ๐Ÿ‡บ UNISYSTEMS LUXEMBOURG SARLLU
partner
๐Ÿ‡ฎ๐Ÿ‡น UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIAIT
partner
๐Ÿ‡ฌ๐Ÿ‡ง UNIVERSITY OF GLASGOWGB
partner
๐Ÿ‡ธ๐Ÿ‡ฎ UNIVERZA V MARIBORUSI
partner
๐Ÿ‡ฎ๐Ÿ‡น URBICO S.R.L.IT
partner

Project Results (17)

Source: CORDIS, the EU research results database.

โ–ถPublications (11)
Data in Brief
Data in Briefยท 2025DOI
Anna Vrani; Savvas D. Apostolidis; Athanasios Ch. Kapoutsis; Elias B. Kosmatopoulos
Neural Cryptanalysis of Lightweight Block Ciphers Using Residual MLPs
2025 IEEE International Conference on Cyber Security and Resilience (CSR)ยท 2025DOI
Charis Eleftheriadis, Georgios Andronikidis, Anastasios Lytos, Eleutherios Fountoukidis, Paris-Alexandros Karypidis, Thomas Lagkas, Vasileios Argyriou, Ioannis Nanos, Panagiotis Sarigiannidis
Node selection using adversarial expert-based multi-armed bandits in distributed computing
Computingยท 2025DOI
Saleh ALFahad; Shameem Puthiya Parambath; Christos Anagnostopoulos; Kostas Kolomvatsos
Obstacles and Drivers of Sustainable Horizontal Logistics Collaboration: Analysis of Logistics Providersโ€™ Behaviour in Slovenia
Sustainabilityยท 2025DOI
Ines Pentek, Tomislav Letnik
Sequential Block Elimination for Dynamic Pricing
2024 IEEE International Conference on Data Mining Workshops (ICDMW)ยท 2025DOI
Shameem A Puthiya Parambath, Saleh Abdullah M Alfahad, Christos Anagnostopoulos, Kostas Kolomvatsos
TRACE: A Reference Architecture for Intelligent Logistics Operations in B5G Networks
IFIP Advances in Information and Communication Technology, Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshopsยท 2025DOI
Konstantina Papachristopoulou, Themistoklis Anagnostopoulos, Konstantinos Fragkos, Ioanna Mesogiti, George Limperopoulos, Eleni Theodoropoulou, Kostas Kolomvatsos
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
2023 IEEE International Conference on Data Mining (ICDM)ยท 2024DOI
Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi
Node and relevant data selection in distributed predictive analytics: A query-centric approach
Journal of Network and Computer Applicationsยท 2024DOI
Tahani Aladwani, Christos Anagnostopoulos, Kostas Kolomvatsos
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback
Data Mining and Knowledge Discoveryยท 2024DOI
Shameem A. Puthiya Parambath; Christos Anagnostopoulos; Roderick Murray-Smith
Task-Aware Data Selectivity in Pervasive Edge Computing Environments
IEEE Transactions on Knowledge and Data Engineeringยท 2024DOI
Athanasios Koukosias, Christos Anagnostopoulos, Kostas Kolomvatsos
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration
Data Mining and Knowledge Discoveryยท 2024DOI
Shameem Puthiya Parambath; Christos Anagnostopoulos; Saleh Abdullah M. Alfahad
โ–ถDeliverables (6)