CH on the move
Introducing the Prototype Digital Twin of The Swiss Mobility System
OPEN ACCESS
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Date
2023-05-19
Publication Type
Conference Paper
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yes
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Abstract
Mobility simulations are crucial for research, industry, and governance. However, simulating mobility systems with reasonable accuracy requires large-scale efforts of data collection, data transformation, data analysis, and data visualization. The paradigm of the digital twin offers a novel perspective on how to manage the data efficiently and make the simulations available more steadily at a lower cost. We introduce the first prototype of the “CH on the move” digital twin that is designed to be openly available to all interested parties to enable a common baseline for transport research in Switzerland. This digital twin is based on the extensible Open Digital Twin Platform (ODTP) that uses containerization, loose coupling, and micro-services to provide dynamically composable digital twins. In its first iteration, “CH on the move” provides an easy-to-use version of the eqasim pipeline for MATSim making it possible to initiate simulations of Switzerland with one click. Future versions of “CH on the move” aim to include a rich set of relevant data sources and analytical pipelines related to transport and mobility and make them easily accessible to research, industry, and governance.
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published
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Pages / Article No.
Publisher
STRC
Event
23rd Swiss Transport Research Conference (STRC 2023)
Edition / version
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Subject
Digital Twin; Swiss Mobility System; Mobility Simulation; MATSim; eqasim
Organisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
03901 - Raubal, Martin / Raubal, Martin
02286 - Swiss Data Science Center (SDSC) / Swiss Data Science Center (SDSC)
02261 - Center for Sustainable Future Mobility / Center for Sustainable Future Mobility
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Non-archival tech report on ODTP. This research is funded by swissuniversities under the Swiss Open Research Data Grant ODTPR-SMS.
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