Open Traffic Data for Mobility-as-a-Service Applications - Architecture and Challenges

Data-driven approaches will be a pivotal tool to interpret traffic data and to optimise operations to enable more efficient, individual, public transport. Whereas nowadays data remain a proprietary resource, Finland pioneered an open ecosystem. In this work, we present an architecture to acquire heterogeneous data sources and different data refinement strategies at the edge-level, such as a map-matching approach for inaccurate vehicle GPS traces. Finally, data quality monitoring at the cloud-level is highlighted by introducing and applying an Errors-to-data ratio (EDR) metric.