Inspiration

Connecting Lisbon's fragmented multi-modal transit networks to eliminate blind spots during peak congestion.

What it does

Provides a real-time digital twin for Lisbon's transport network, mapping demand heat, choke points, and ferry flows to optimize resource allocation.

How we built it

By ingesting GTFS and ferry feeds into a twin engine that processes demand patterns and powers an interactive carrier map.

Challenges we ran into

Synchronizing multi-modal feeds and aligning real-time user travel habit data with municipal data structures.

Accomplishments that we're proud of

Successfully running on real data to generate monthly improvement reports and live choke-point dashboards.

What we learned

The critical importance of low-latency data pipelines for public-sector transit planning and municipal resource management.

What's next for Navegador

Piloting the platform on key Lisbon corridors like Cais do Sodré to measure direct passenger throughput and wait-time reductions.

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