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Titel:

Introducing Data-Format-Dependent Road Network Conversion Techniques – Lessons Learned from the Digital Twin Munich

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Keler, Andreas; Amini, Sasan; Lindner, Johannes; Bogenberger, Klaus
Abstract:
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, Op...     »
Kongress- / Buchtitel:
31st Geographical Information Science Research UK (GISRUK) Conference (GISRUK)
Jahr:
2023
Volltext / DOI:
doi:https://doi.org/10.5281/zenodo.7823414
TUM Einrichtung:
Lehrstuhl für Verkehrstechnik
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