Our work

  • Built with coding agents

Traffic platform for a motorway authority

92–95% traffic-event detection accuracy

Sector
Public sector: smart mobility
Market
Germany
Timeline
2026

92–95%traffic-event detection accuracy

40%lower data-processing latency

25–35%faster incident response

The challenge

Motorway operators needed a workstation that collects and processes daily sensor data, shows traffic conditions and supports traffic-state prediction.

What was built

  • A multi-tenant, cloud-based system with a web interface
  • Ingestion and preprocessing of daily motorway sensor data
  • Clustering that finds recurring patterns for prediction
  • Real-time dashboards, charts and alerts

How it was built

  • Claude Code (Opus and Sonnet) from discovery to deployment
  • NotebookLM for document intelligence and DeepWiki for repository navigation

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