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

Authors: Keler, Andreas; Amini, Sasan; Lindner, Johannes; Bogenberger, Klaus;

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

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, 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.

Country
Germany
Keywords

urban digital twin, geodata conversion, road network representation, traffic flow simulation, virtual reality, ddc:910

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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