System Design for Uber Find Nearby Drivers

Uber uses real-time GPS data, algorithms, and mapping technology to find nearby drivers. The app sends the rider's GPS location to Uber's system, which then matches the rider's location with the driver's. The system uses machine learning and data from previous trips to optimize the matching process. Once a nearby driver is found, the driver receives a notification with the pickup location and ride request details. The app updates the driver and rider's locations in real-time, ensuring efficient connections between riders and drivers.

Uber developed the H3 Library, a geospatial indexing system that partitions the Earth into a hierarchical hexagonal grid. This system allows Uber to efficiently organize and query spatial data, analyze data at different levels of granularity, and use hexagons for consistent neighbor distances. H3 is used for driver location, matching drivers and riders, pricing and routing, and data aggregation to analyze demand patterns, identify hotspots, and optimize services.

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Refer :- https://newsletter.systemdesign.one/p/how-does-uber-find-nearby-drivers