integRated intElligent multi-modal tRanspOrt infrastrUcTurE: distributed localised decision-making at the network edge

Informazioni relative al progetto

RE-ROUTE

ID dell’accordo di sovvenzione: 101086343

DOI

10.3030/101086343

Data della firma CE 6 Ottobre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 671 600,00

Coordinato da

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

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

Documents, reports (4)

Adaptive system architecture

A report assessing the assets identifies the attack surface and classifying threats towards the development of an adaptive integrated M-ITS architecture.

RE-ROUTE data governance platform

A “Secure Data governance platform” with state-of-the-art of cyber threat intelligence be ing analysed, especially in relation to the proposed platform for data governance.

Plan for dissemination and exploitation including communication activities

m6

Blueprint of the multi-modal transport Digital Infrastructure requirements

A blueprint of the multi-modal transport digital infrastructure will be provided by this task. The use cases will drive these requirements.

Data Management Plan (1)

Data Management plan

Data Management plan M6 (mandatory Deliverable)

Pubblicazioni

Conference proceedings (7)

CAPTAIN CARBON: Using Gamification to Influence Students Choice for Sustainable Transport

Autori: Mark Tynan, Evan Byrne, Carlo Finnegan, Maxim Zack Istasse, Ivan Kalgashkin, Honghui Du, Fatemeh Golpayegani
Editore: IEEE

Traffic Modes Interactions and Data Sharing in a Complex Edge Computing Multimodal ITS Environment

Autori: Igor Mikolasek et al.
Pubblicato in: TRA 2024

SubMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment

Autori: Zeyneddin Oz et al.
Pubblicato in: EURO-PAR 2023

A Genetic Algorithm Enhanced ANN for Traffic Flow Breakdown Prediction in Dublin

Autori: Jack Geraghty et al.
Pubblicato in: TRA 2024

Urban Traffic Signal Control using Edge-based Ontology DRL

Autori: Jiaying Guo et al.
Pubblicato in: IEEE ITSC 2023

Enhancing VRUs Safety through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning

Autori: Zahra Safavifar et al.
Pubblicato in: IEEE ITSC 2023
DOI: 10.1109/ITSC57777.2023.10421846

Conflict Management in the Near-RT-RIC of Open RAN: A Game Theoretic Approach

Autori: Wadud, Abdul; Golpayegani, Fatemeh; Afraz, Nima
Pubblicato in: CPSCOM 2023, 2023
DOI: 10.48550/arxiv.2311.13389

Peer reviewed articles (1)

Quality matters: A comprehensive comparative study of edge computing simulators

Autori: Charafeddine Mechalikh, Abd El Heq Silem , Zahra Safavifar , Fatemeh Golpayegani
Pubblicato in: Simulation Modelling Practice and Theory, 2024
Editore: Elsevier
DOI: 10.1016/J.SIMPAT.2024.103042