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

Informations projet

RE-ROUTE

N° de convention de subvention: 101086343

DOI

10.3030/101086343

Date de signature de la CE 6 Octobre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2026

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 671 600,00

Coordonné par

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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)

Publications

Conference proceedings (7)

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

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

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

Auteurs: Igor Mikolasek et al.
Publié dans: TRA 2024

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

Auteurs: Zeyneddin Oz et al.
Publié dans: EURO-PAR 2023

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

Auteurs: Jack Geraghty et al.
Publié dans: TRA 2024

Urban Traffic Signal Control using Edge-based Ontology DRL

Auteurs: Jiaying Guo et al.
Publié dans: IEEE ITSC 2023

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

Auteurs: Zahra Safavifar et al.
Publié dans: IEEE ITSC 2023
DOI: 10.1109/ITSC57777.2023.10421846

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

Auteurs: Wadud, Abdul; Golpayegani, Fatemeh; Afraz, Nima
Publié dans: CPSCOM 2023, 2023
DOI: 10.48550/arxiv.2311.13389

Peer reviewed articles (1)

Quality matters: A comprehensive comparative study of edge computing simulators

Auteurs: Charafeddine Mechalikh, Abd El Heq Silem , Zahra Safavifar , Fatemeh Golpayegani
Publié dans: Simulation Modelling Practice and Theory, 2024
Éditeur: Elsevier
DOI: 10.1016/J.SIMPAT.2024.103042