Introducing data-format-dependent road network conversion techniques – lessons learned from the digital twin Munich
- The Digital Twin Munich project (DZ-M) aims to depict complex urban environments through the use of static and dynamic components, and their semantic relationships. The project focuses on the development of a street network model and urban mobility simulation, utilizing the open source microscopic traffic flow simulation software SUMO. The transport demand is provided by the VISUM model of the city of Munich, and the data structure developed is compatible with standards such as OpenStreetMap, OpenDrive, CityGML, and GTFS. The project also includes the use of physical VRU simulators for data collection purposes, and the integration of these simulations into a 3D VR environment in Unity.
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| Author: | Andreas KelerORCiD, Sasan Amini, Johannes Lindner, Klaus Bogenberger |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1141862 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/114186 |
| Parent Title (English): | 31st Geographical Information Science Research UK (GISRUK) Conference, 19th-21st April 2023, Glasgow, Scotland |
| Publisher: | Zenodo |
| Type: | Conference Proceeding |
| Language: | English |
| Year of first Publication: | 2023 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2024/07/19 |
| Edition: | Online-Ressource |
| DOI: | https://doi.org/10.5281/zenodo.7823414 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Geographie | |
| Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Angewandte Geoinformatik | |
| Dewey Decimal Classification: | 9 Geschichte und Geografie / 91 Geografie, Reisen / 910 Geografie, Reisen |
| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |
