Work in Progress: Towards a Single Underlying Model for the Digital Twin of Future Road Infrastructures
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
The mobility of people and goods is at the heart of our modern society with increasingly global and diverse networked processes. In its current form, mobility, especially concerning road traffic, faces global challenges (durability, safety, efficiency, ecology, costs, automation, etc.) that require to fundamentally revise the way we plan and build roads 1. A project SFB/TRR 339 is aimed at resolving current gaps and making a step forward in terms of building and maintaining roads of the future. The main objective of our project is to create a digital twin of the street that will help to achieve new integration deepness between vehicles and road systems. This paper represents our vision of this digital twin architecture and our first steps in its implementation.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | 2023 IEEE Smart World Congress (SWC) |
| Erscheinungsort | Portsmouth |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers (IEEE) |
| Seiten | 1-4 |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 979-8-3503-1980-4 |
| ISBN (Print) | 979-8-3503-1981-1 |
| Publikationsstatus | Veröffentlicht - 31 Aug. 2023 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 2023 IEEE Smart World Congress |
|---|---|
| Kurztitel | SWC 2023 |
| Dauer | 28 - 31 August 2023 |
| Ort | University of Portsmouth |
| Stadt | Portsmouth |
| Land | Großbritannien/Vereinigtes Königreich |
Externe IDs
| ORCID | /0009-0008-3887-3217/work/155292080 |
|---|---|
| ORCID | /0000-0001-8107-2775/work/155292415 |
| Scopus | 85187349204 |
| ORCID | /0000-0003-1537-7815/work/168720064 |
| ORCID | /0000-0002-3513-6448/work/168720196 |
| ORCID | /0009-0005-1845-7425/work/171549483 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Biological system modeling, Digital twins, Faces, Heart, Road traffic, Roads, Safety, contexts, Digital twin, feature models, models, Petri nets, road systems, single underlying model