Institute of Microelectronic Systems Institute News
EcoMobility - For a sustainable society with intelligent mobility solutions

EcoMobility - For a sustainable society with intelligent mobility solutions

On May 24th, 2023, the IMS and 46 partners from all over Europe officially kicked off the European Project EcoMobility with a two-day event hosted in Vienna by the coordinator, TTTech Auto AG.

On May 24th, 2023, the IMS and 46 partners from all over Europe officially kicked off the European Project EcoMobility with a two-day event hosted in Vienna by the coordinator, TTTech Auto AG.


EcoMobility aims to lead the European industry of mobility and support EU cities' transition from isolated and static transportation means towards a service-centric, connected mobility ecosystem by sharing data and services across all involved stakeholders. The project is a three-year project funded by the Key Digital Technologies Joint Undertaking (KDT JU), a private partnership in collaboration with the Horizon Europe (HORIZON) Framework Programme and National Authorities. To achieve this, the project:

  • delivers exemplary applications of the architecture, components, and domain model in six supply chains
  • applies State of the Art and beyond State of the Art (so-called digital enablers) and know-how that empowers all phases of a highly automated vehicle life cycle
  • develops a comprehensive market analysis and a detailed business plan towards project's sustainability analyzing both the supply and the demand side drivers and characteristics


The IMS is involved in several of the project's work packages and serves as the lead in the work package "Embedded systems and computing." During the project the IMS focus on intelligent scheduling of tasks on heterogeneous processor systems, optimizing the systems computing capacity for both speed and efficiency. The scheduling will be applied to various algorithms in the area of radarbased object detection and autonomous driving. This is planned to be combined with technology developed by the other work packages in an automated parking demonstrator as a means of fast and power efficient sensor signal processing.