Data and Model-based Solutions for the Transformation of Mobility
DATAMOST
Methods, Data and Models of the DLR
The sustainable mobility of tomorrow requires a successful transformation in passenger and freight transport that harmonises transport with environmental and climate goals. To move closer to this objective, technological advances must be combined with the latest scientific methods, data, and models. With their complexity, even solutions developed within the German Aerospace Center (DLR) can be overwhelming. Therefore, research must be interdisciplinary, clear, and comprehensible for the traffic transition to be formulated effectively.
A Mobility Lab for Everyone
The research project "Data and Model-based Solutions for the Transformation of Mobility" (DATAMOST) merges DLR expertise and innovative research outcomes in an interactive mobility lab for visualisation and presentation. This lab creates a physical space that allows businesses and society to experience and understand DLR research findings interactively. It promotes the collective, open exploration and evaluation of pioneering mobility solutions by the DLR and its practice partners.
DATAMOST develops necessary interfaces between cross-disciplinary DLR research findings to shape solutions for mobility transformations. This is achieved by linking existing models, using state-of-the-art data, and employing innovative analytical methods such as machine learning and artificial intelligence. In doing so, the DLR extends transport research through systemic connections and intuitive visualisations. The mobility lab enhances the comprehensibility and visibility of research achievements for society, the economy, politics, and the public.
User-Friendly and Intelligent Solution Tools for Objective Assessment and Rational Decisions
DLR mobility laboratory – a glimpse into the simulation
Analysing, visualising and assessing traffic metrics – made possible thanks to the DLR mobility laboratory, leveraging a robust, exclusive database.
A central aspect of DATAMOST is the methodical expansion of the mobility lab for evaluating mobility solutions. This includes assessing the effectiveness of planned mobility and traffic solutions. The innovative integration of diverse data sources and methods for developing digital twins of mobility solutions and deriving research results at the DLR is noteworthy. Quantitative and qualitative methods for gathering information and developing creative solutions for challenges in the transport system complement each other.
Through its integration, the mobility lab provides added value in evaluation and simultaneously acts as a data provider. It generates data feedback and resulting insights that refine the models used. Furthermore, ensuring transferability to real-world application fields guarantees the market relevance of the mobility lab through targeted and robust results.
