Fraunhofer Institute for Open Communication Systems
Fraunhofer Institute for Open Communication Systems

Digital Twin

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Digital twin

Mobility with comprehensive road space and mobility detection

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Eidos Road Glancr-App: Crowdsourcing app provides data for mobility and mapping services

The urban digital twin offers a unique, tried-and-tested platform for high-precision mapping, analysis, and simulation of urban road space and the mobility that takes place within it—in real-time, scalable, and interoperable.

  • Comprehensive recording of road space and mobility: Integration of a wide variety of data sources, including OEM crowd data and the innovative, AI-based Eidos Road Glancr-app for continuous, comprehensive, and data protection-compliant traffic space recording via smartphone.
    • Static recording (mobile mapping): Regular inventory of road space, e.g., lane layout, traffic sign register, road condition (ZEB)
    • Dynamic recording (monitoring): Traffic situation, construction sites, closures, parking space occupancy
  • Flexible, multimodal data fusion: Seamless merging and real-time analysis of sensor data from fleet vehicles (taxis, public transport, delivery services, etc.), stationary sensors, crowdsourcing apps, and cross-manufacturer vehicle data.
  • Innovative connectors: Standardized, interoperable real-time data layer enables easy connection and integration of a wide variety of urban data sources and digital twins.
  • AI-supported analysis & forecasting: Automated detection, evaluation, and prediction of changes in the road space (e.g., new construction sites, changed traffic signs, road damage, parking pressure, traffic flow).
  • Scenario simulation: Integration of simulation data for rare and critical events, e.g., traffic accidents or special situations.
  • Web-based, scalable visualization: Highly realistic, interactive 3D visualization of large amounts of spatial data – down to the vehicle level.
  • Cloud architecture & big data: Powerful and secure processing, storage, and analysis in modern cloud and database environments (e.g., MS Azure, PostgreSQL/PostGIS, Apache Accumulo).
  • Open standards & protocols: Support for modern interfaces and formats (HTTP/REST, MQTT, Kafka, JSON/GeoJSON, NGSI-LD) for maximum interoperability.

Advantages:

  • Comprehensive, lane-accurate recording of the dynamic road space and all relevant mobility processes – without expensive special hardware.
  • Quick to deploy, scalable, GDPR-compliant.
  • Enables data-driven control, monitoring, and optimization of urban mobility and infrastructure.