MCube: Simulation model and Datahub (DatSim)

Project Description

The aim of the project "Data Hub and Simulation Model" is the creation of a central, superordinate, and digital MCube representation consisting of a holistic simulation model and a central data hub for deriving Evaluate, document and publish data, measures, and results from MCube and associated data sources. Simulation model and data hub as results of the project fulfill both individually and in combination important tasks within the framework of the cluster. The overall simulation model provides a central platform for the integration of sub-models from MCube innovation projects, thus enabling simultaneous and interactive consideration of measures and their effects within a common simulation environment. The data hub serves as an integration level for all data records relevant to the MCube and standardizes data exchange formats and interfaces so that input and output data for investigations within the MCube innovation projects during and after the cluster project are available in a comprehensible and uniform form. The integration of the data hub and simulation model creates a digital image of the future cluster, which supports the activities of the innovation projects during the project period and makes knowledge and findings accessible and usable beyond the funding period.  

Tasks of the Chair

• WP 4.3 - Investigation and transfer of model abstraction levels
  The basis for the overall simulation model is an agent-based traffic simulation, which builds on existing models of the partners. Depending on the object of investigation, such traffic simulations can be implemented microscopically, mesoscopically and macroscopically. The goal of WP 4.3 is to test these different model abstraction levels, which always have preferred applications, for the flexible possibility of conversion among each other. 
• WP 4.4 - Method development - testbed(s) for traffic simulations 
  In this work package, three goals are pursued: 
  (1) duplicate data and models from an existing (online) platform for (specified) offline studies.
  (2) implement procedures to incorporate real-time data into testbed(s), and  
  (3) investigate data aggregation with respect to traffic control.  
  The latter results from the work in WP 4.3 and represents another possibility to investigate the simulation on varying spatial scales.

 

Keywords	Cross-Scale Traffic Flow Simulation, Datahub, Digital Twins, XR
Funding	Federal Minister of Transport and Digital Infrastructure
Website	https://www.mcube-cluster.de/en/projects/datenhub-und-uebersicht-mobilitaetsdaten/
Partners	TUM Chair of Automotive Technology, TUM Professorship for Operations and Supply Chain Management, TUM Professorship for Travel Behavior, BMW Group, SAP SE, Deutsches Museum
Duration	December 2021 - December 2024
Contact	Johannes Lindner, Markus Fischer