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CORDIS - Risultati della ricerca dell’UE
CORDIS

UPSCALING INNOVATIVE GREEN URBAN LOGISTICS SOLUTIONS THROUGH MULTI-ACTOR COLLABORATION AND PI-INSPIRED LAST MILE DELIVERIES

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Modelling Framework and Agent-Based Models (si apre in una nuova finestra)

D3.2 will deliver the LLs’ ABMs. The deliverable will detail the agent-based modelling activities employed to provide strategic recommendations to real-life stakeholder strategies and input to the LLs DTs implementation. It will describe the interconnections and complementarities between HUMAT and MASS-GT models (inputs/outputs), describe the calibration and validation of the LLs’ ABM and the simulation scenarios for the LLs.

AI-driven models and services (si apre in una nuova finestra)

D3.3. will deliver the LLs’ and DTs AI services, and specifically will deliver AI-driven models (Predictive Demand Modelling, Dynamic routing, Dynamic service pricing and booking) that will be employed in the LLs and DT applications.

Collaboration Governance Ledger and Smart Contracts (si apre in una nuova finestra)

D3.1 will setup the Blockchain infrastructure and implement a distributed blockchain-based and privacy-preserving identity management scheme rooted on Blockchain. It will also define the consensus protocols, design and deploy the Smart Contracts for Wave 1 LLs.

Thessaloniki Demonstrator (si apre in una nuova finestra)

Demonstrator and report on user acceptance/lessons learned. D2.5 will describe the operation of a Hub and Spoke delivery model supported by Digital Twins. The LL will demonstrate the installation of micro-hubs/micro-consolidation lockers and the application of AI-enabled dynamic routing and fleet management. The deliverable will document the specifications for efficient operations, fleet and infrastructure details, user stories involving all stakeholders, the LL DT models, a detailed implementation plan, measurements during operation in real life settings and lessons learned to be considered in replication of Hub and Spoke delivery model.

Bologna Demonstrator (si apre in una nuova finestra)

Demonstrator and report on user acceptance/lessons learned. D2.3 will describe the requirements for the setup and operation of Nearby Delivery Areas (NDAs) in collaboration with local authorities and business stakeholders, including the constraints and measures for the transition to PI-enabled last mile deliveries. It will include detailed requirements for the NDA’s location definition, digitalisation requirements and configuration of infrastructure, fleet details, user stories involving all stakeholders, the LL DT models and optimisation algorithms, a detailed implementation plan, measurements during operation in real life settings and lessons learned to facilitate replication and scale up.

Helsinki Demonstrator (si apre in una nuova finestra)

Demonstrator and report on user acceptance/lessons learned. D2.2 will describe the results of collaboration with local authorities on the constraints and measures for the efficient introduction of ADVs in last mile delivery. It will include detailed requirements and user stories, the LL DT models, a detailed implementation plan including the operational zone definition and operational parameters, fleet details, measurements during execution in real life settings and lessons learned for future adoption and scale up.

Valladolid Demonstrator (si apre in una nuova finestra)

Demonstrator and report on user acceptance/lessons learned. D2.4 will describe the requirements for last mile delivery operations with a fleet of fully electric vehicles including cargo e-bikes, urban electric vans and urban electric pick-up. The LL will demonstrate dynamic e-routing to minimize energy consumption and maximize energy harvesting, V2V, V2G and V2I communications, and collaborative delivery. It will include specifications for vulnerable road users’ safety, fleet details, user stories involving all stakeholders, the LL DT models, a detailed implementation plan, measurements during operation in real life settings and lessons learned for wide adoption.

Validation report of Lighthouse LLs Implementation (si apre in una nuova finestra)

Report on the assessment of solutions, user acceptance tests, KPI measurements across LLs, learning conclusions and reusable results (models). The report will consolidate stakeholder clustering in each Lighthouse LL city, based on agent-based scenario modelling, considering social, environmental and economic criteria.

URBANE framework for optimised green last mile operations (si apre in una nuova finestra)

This report consolidates the results of T1.1, T1.2 and T1.3, describes the principles and prerequisites of PI-inspired urban logistics operational models and clearly sets the strategic priorities and direction of URBANE. It also describes efficient collaboration schemes for city logistics ecosystems, including incentives and policy measures along within a data sharing governance framework.

Stakeholder Engagement, Dissemination and Communications (si apre in una nuova finestra)

Report monitoring engagement mechanisms and planned activities. A detailed ‘plan for dissemination and exploitation including communication activities’ will be provided on M6 and will be periodically updated in alignment with the project’s progress. The progress of the activities will be reported as integral parts of the periodic reports on M18 and M30. The final Dissemination and Communications Activities report will include the summary of all related activities.

Pubblicazioni

Mass-Gt: An Empirical Model for the Simulation of Freight Policies (si apre in una nuova finestra)

Autori: Michiel de Bok, Lóránt A. Tavasszy, Sebastiaan Thoen, Larissa Eggers, Ioanna Kourouniotti
Pubblicato in: 2024, ISSN 8765-4321
Editore: Elsevier BV
DOI: 10.2139/ssrn.4993631

Physical Internet-driven last mile delivery: Performance requirements across people, process and technology (si apre in una nuova finestra)

Autori: Kayikci, Yasanur; Zavitsas, Kostas; Franklin, Rod; Cebeci, Merve
Pubblicato in: 2023
Editore: ALICE
DOI: 10.35090/gatech/8032

Coordinating Delivery Service Providers for Greener Two-Echelon Vehicle Routing Via Bilevel Optimization: Exact and Data-Driven Methods (si apre in una nuova finestra)

Autori: Ade O. Fajemisin, David Rey, Xavier Brusset
Pubblicato in: 2024, ISSN 1234-5678
Editore: Elsevier BV
DOI: 10.2139/ssrn.4890494

Digital Twinning platforms as an enabler for the ex-ante evaluation of PI-inspired interventions to last-mile logistics networks (si apre in una nuova finestra)

Autori: Dimitrios Rizopoulos; Harris Niavis; Maria Kampa; Aristea Zafeiropoulou; Rod Frankin; Antonis Mygiagkis; Anastasios Kakouris; Andreas Alexopoulos; Ioanna Fergadiotou
Pubblicato in: 2023
Editore: ALICE
DOI: 10.35090/gatech/7980

The Urban Cloud: Linking city services, cloud computing, and the Physical Internet to achieve smart city objectives

Autori: Rod Franklin, Ioanna Fergadiotou, Maria Kampa, Dimitris Rizopoulos, Lorant Tavasszy
Pubblicato in: IPIC 2023 Conference papers and posters Contributions Proceedings, 2023
Editore: ALICE

The URBANE Innovation Transferability Platform: Learnings for Decarbonising Last-Mile Delivery Networks (si apre in una nuova finestra)

Autori: Rod Franklin, Ioanna Fergadiotou, Maria Kampa, Harris Niavis, Thanos Karydis, Patrycja Antosz, Önder Gürcan, Xavier Brusset, Ade Fajemisin, Aristea Zafeiropoulou, George Misiakoulis, Georgia Ayfantopoulou, Zisis Maleas, Dimos Touloumidis, Merve Seher Cebeci, Timo Szczepanska, Michiel de Bok, Rodrigo Tapia, Lóri Tavasszy
Pubblicato in: Lecture Notes in Intelligent Transportation and Infrastructure, Climate Crisis and Resilient Transportation Systems, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-82818-8_29

Towards greener city logistics: an application of agile routing algorithms to optimize the distribution of micro-hubs in Barcelona (si apre in una nuova finestra)

Autori: C. Castillo, J. Panadero, E. J. Alvarez-Palau, A. A. Juan
Pubblicato in: European Transport Research Review, Numero 16, 2024, ISSN 1866-8887
Editore: Springer Science and Business Media LLC
DOI: 10.1186/s12544-024-00669-7

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