Motorway Traffic Prediction at Scale

Developing a workstation for motorway operators and traffic engineers under Germany’s Autobahn OS initiative. The platform collects and processes sensor data from German motorways to visualize traffic conditions and support traffic-state prediction.

Challenge

• Continuous streams from motorway sensors across Germany needed real-time processing
• Different operators and engineers needed isolated, role-based access
• Traffic-state forecasting required advanced pattern recognition and clustering
• Complex traffic events needed intuitive chart-based presentation

Solution

• Multi-tenant, cloud-based system accessible via web interface
• Automated ingestion and preprocessing of daily motorway sensor data stored in a local database
• Traffic event visualization through charts with clustering to identify recurring patterns
• Traffic-state prediction using pattern analysis for proactive management

Architecture

Outcome

• 92-95% traffic event detection accuracy through advanced analytics
• 40% data processing latency reduction compared to previous systems
• 25-35% incident response time improvement via early prediction
• Platform supports Germany’s national Autobahn OS digital infrastructure program

Tech Stack

• Backend: Java, Spring Boot
• Frontend: React
• Infrastructure: Private Cloud