Published June 3, 2023 | Version v1
Book chapter Open

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

  • 1. Ostbayerische Technische Hochschule Amberg-Weiden
  • 2. Information Technology for Market Leadership

Description

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.

Files

RP_9788770226639C31.pdf

Files (9.5 MB)

Name Size Download all
md5:3db473848628fb8f85614c8bef84d1c2
9.5 MB Preview Download

Additional details

Funding

European Commission
AI4DI - Artificial Intelligence for Digitizing Industry 826060