The “roVer” project, funded under the German federal high‑tech strategy for intelligent mobility, ran from 1 October 2018 to 30 September 2023 at the University of Munich’s Faculty of Computer Science and Mathematics. The project was led by Prof. Dr. L. Wischhof and Prof. Dr. G. Köster and received the grant identifier 13FH669IX6. Its core aim was to investigate how individual mobility behaviour interacts with wireless networking in future traffic infrastructures, thereby supporting the development of safer, more efficient, and environmentally friendly transport systems.

The scientific work was organised into six application programmes (AP 1–AP 6). AP 1 focused on scenario development, creating realistic representations of urban mobility patterns, including passenger choice, route selection, and traffic demand. AP 2 addressed mobility and uncertainty quantification, where stochastic models of traffic flow and driver behaviour were calibrated and validated against empirical data, allowing the assessment of variability in travel times and network performance. In AP 3, the team designed communication strategies and adaptive information dissemination mechanisms for vehicle‑to‑everything (V2X) networks, exploring how dynamic routing and real‑time traffic alerts can be optimised under varying network conditions. AP 4 dealt with coupling and integration, embedding the mobility and communication models into a unified simulation framework that could run large‑scale scenarios on an expanded computing cluster. AP 5 carried out extensive simulation studies, evaluating key performance indicators such as average travel time, congestion levels, safety incident rates, and network utilisation. While the report does not provide explicit numeric results, it reports that the simulations demonstrated measurable improvements in traffic flow stability and reduced collision risk when adaptive communication protocols were employed. AP 6 concentrated on dissemination, producing peer‑reviewed publications, conference presentations, and outreach activities. The project’s findings were recognised with a Best Paper Award at the UUNET 2022 conference and a “Best Paper” accolade for a study on pedestrian mobility modelling. Outreach efforts included a web article and an Instagram talk as part of the Bavarian government’s “Bayern spricht über 5G” campaign, and the partner Stadtwerke München received the “Oskar der Praxis” award in May 2023 for outstanding collaboration.

Financially, the project allocated roughly 75 % of the total grant to personnel costs, reflecting the emphasis on training early‑career researchers through cooperative PhD programmes. The remaining 25 % covered a project fee (20 %), travel (2 %), general administration and publication costs (2 %), and laboratory equipment (1 %). Additional funds were re‑allocated to expand the simulation cluster and to purchase a tablet for conducting passenger surveys on route choice.

Collaboration extended beyond the university to include Stadtwerke München and other stakeholders in the Munich region, ensuring that the research addressed real‑world mobility challenges. The project’s outcomes are expected to influence both academic research and practical implementation of intelligent transport systems, providing a foundation for future studies on robust, network‑aware mobility solutions.