Project Overview
Connecting live data with more informed mobility decisions.
This project analyzes transportation data to support prediction, routing, and decision support for smart cities and connected mobility environments. Machine learning and optimization approaches are used to better interpret traffic patterns and improve service efficiency.
Research Focus
- Traffic prediction and trend analysis
- Route optimization and mobility planning
- Integrated analytics for public and private transportation
- Human-centered decision support for transport operations
By connecting analytics with practical decision contexts, the research supports smarter and more adaptive transportation systems.
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