The OpenOlli project, funded by the German Federal Ministry of Transport and Digital Infrastructure through the mFUND programme and executed by the Innovationszentrum für Mobilität und gesellschaftlichen Wandel (InnoZ) from 1 June 2017 to 31 May 2018, set out to create an open, web‑based data platform for the autonomous shuttle Emily that operates on the EUREF campus in Berlin Schöneberg. Emily, supplied by the French company Easymile, runs on a fixed route with scheduled stops and has recently been equipped with an on‑demand mode that accepts ride requests via a mobile app, inductive charging, and autonomous positioning over a charging pad. The platform was designed to collect, visualise and distribute Emily’s state data—including telemetry, energy management and navigation—at one‑second intervals in real time. Monthly data packages are made available in CSV format for download, enabling researchers and developers to analyse long‑term performance and behaviour.

The technical core of the project involved the integration of a continuous data stream from Emily’s on‑board sensors into a cloud‑based backend that feeds a responsive web interface. The interface displays live dashboards of vehicle status, battery level, route adherence and sensor diagnostics, while also providing historical charts and export options. The platform’s architecture supports scalable ingestion, storage and retrieval, ensuring that the high‑frequency telemetry does not bottleneck the system. By exposing the data through a public API, the project enables third‑party applications to build on top of the raw information. The data set’s richness allows for the development of predictive maintenance models, optimisation of energy consumption, and simulation of new service concepts such as on‑demand shuttles integrated into the broader public transport network.

Following the platform’s launch, a hackathon was organised on the Open Mobility Forum, a collaborative space maintained by InnoZ. Participants from industry, academia and municipal authorities used the live data to prototype applications that extend Emily’s role beyond campus transport. The hackathon produced several proof‑of‑concepts, including a simulation of on‑demand service in an urban environment and a dashboard for real‑time fleet monitoring. Results were published on the platform, accompanied by a white paper summarising best practices and lessons learned. A dedicated tutorials section was also created to guide newcomers in accessing and analysing the data.

The project’s collaborative dimension was reinforced by the involvement of the Berliner Verkehrsbetriebe (BVG), which served on the hackathon jury and later used the OpenOlli data for its own August 2018 hackathon. This partnership amplified the impact of the data set and demonstrated a multiplier effect, as the BVG’s participation attracted further interest from the public transport sector. The platform also served as a physical meeting place for stakeholders, fostering interdisciplinary dialogue between IT specialists, vehicle engineers, urban planners and policy makers.

At the conclusion of the 12‑month cycle, the OpenOlli data and platform were integrated into the mCLOUD infrastructure, ensuring long‑term accessibility and scalability. The project achieved its goal of providing an open, real‑time data source for autonomous vehicle research and of stimulating innovative applications that bridge autonomous shuttles and public transport. The collaboration between InnoZ, Easymile, BVG and the broader community exemplifies how shared data can accelerate the transition to smarter, more connected mobility solutions.