MoDa
In the MoDa project (Models and Data for Future Mobility–Supporting Services), the DLR contributes to the mobility transition by providing and linking versatile data, models and services. To this end, the project creates the basis for a data‑, model‑ and service‑ecosystem and, building on this, develops and integrates innovative, customer‑oriented services.
The MoDa services aim to generate research knowledge quickly and precisely and to provide new solutions for key stakeholders such as local and national authorities, companies, and the public. In particular, the MoDa approach – with its model ecosystem and early stakeholder involvement – aims to accelerate the transition of the developed services into practical application.
The Institute of Data Science contributes to the Power Forecast Mapper service as part of the project. The aim of the service is to create a methodological and data foundation for (1) acquiring information on current infrastructure and electric‑vehicle charging requirements, and (2) predicting optimal locations for new charging infrastructure.
Freely available web data serve as a source of information to derive the usage behaviour of individual charging points over time. Combined with information about the surrounding buildings and their uses (e.g., residential or commercial properties), differentiated usage patterns can be derived. This information and these patterns form the basis for fine‑grained planning of charging‑infrastructure expansions.
In addition, the Open Transport Ontology and the Open Transport Metadata Schema are being further developed within the project. In cooperation with various partners inside and outside the DLR, the foundations are being laid for FAIR data management in the field of transport and mobility. In this way, we promote the reuse of collected data and developed models beyond the boundaries of individual projects, thereby helping to realise their full potential in the long term.
Project duration: 01/2024 - 12/2026