Uber H3

A fatal mistake made by junior engineers building ride-hailing apps is connecting their API Gateway directly to the Routing Engine. Answer-first: Graphhopper is extremely CPU-intensive. If you ask it to calculate the ETA to all 10,000 drivers currently online in a city, your servers will melt. You must introduce Spatial Indexing (like Uber H3 or Redis GEO) as a high-speed “Pre-filter”. The index quickly finds the 50 closest drivers “as the crow flies” using RAM, and only those 50 are sent to Graphhopper for heavy ETA calculations. ...

Answer-first: Surge pricing calculates dynamic multipliers by matching supply and demand in real-time. The architecture indexes locations via H3 hexagons, streams GPS updates through Kafka, and aggregates demand density using Apache Flink to calculate price updates dynamically. What You’ll Learn That AI Won’t Tell You Implementing spatial aggregators in Apache Flink for surge multipliers. Preventing pricing oscillations using smooth sliding-window time series models. Why is it that every time it rains, ride-hailing fares double, or even triple? It’s not a human operator manually adjusting the prices behind a desk. Rather, it’s the result of an incredibly sophisticated Stream Processing engine running in the background executing the surge pricing algorithm. ...