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

Información del proyecto

RE-ROUTE

Identificador del acuerdo de subvención: 101086343

DOI

10.3030/101086343

Fecha de la firma de la CE 6 Octubre 2022

Fecha de inicio 1 Enero 2023

Fecha de finalización 31 Diciembre 2026

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 671 600,00

Coordinado por

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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)

Publicaciones

Conference proceedings (7)

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

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

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

Autores: Igor Mikolasek et al.
Publicado en: TRA 2024

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

Autores: Zeyneddin Oz et al.
Publicado en: EURO-PAR 2023

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

Autores: Jack Geraghty et al.
Publicado en: TRA 2024

Urban Traffic Signal Control using Edge-based Ontology DRL

Autores: Jiaying Guo et al.
Publicado en: IEEE ITSC 2023

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

Autores: Zahra Safavifar et al.
Publicado en: IEEE ITSC 2023
DOI: 10.1109/ITSC57777.2023.10421846

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

Autores: Wadud, Abdul; Golpayegani, Fatemeh; Afraz, Nima
Publicado en: CPSCOM 2023, 2023
DOI: 10.48550/arxiv.2311.13389

Peer reviewed articles (1)

Quality matters: A comprehensive comparative study of edge computing simulators

Autores: Charafeddine Mechalikh, Abd El Heq Silem , Zahra Safavifar , Fatemeh Golpayegani
Publicado en: Simulation Modelling Practice and Theory, 2024
Editor: Elsevier
DOI: 10.1016/J.SIMPAT.2024.103042