This content originally appeared on DEV Community and was authored by Seb
This is a submission for the Redis AI Challenge: Beyond the Cache.
What I Built
A real-time air traffic control simulator that can track aircraft positions (latitude, longitude, altitude). Detect potential collisions using geospatial calculations, and visualize aircraft movement on a live map. It also generates alerts when aircraft violate safety thresholds.
Demo
Here is the GitHub repo: https://github.com/SebastianKibiriti/redis-airtraffic-simulator-with-deepseek
How I Used Redis 8
The features of Redis 8 that were used are: GEOADD, for storing the positions of the aircraft + GEORADIUS, for querying other aircrafts nearby.
# Store aircraft positions
redis.geoadd(
"aircraft:positions",
{aircraft_id: (longitude, latitude)}
)
# Query nearby aircraft (1km radius)
conflicts = redis.georadius(
"aircraft:positions",
current_lng, current_lat, 1, "km"
)
Lua Scripting for collision detection.
-- conflict_check.lua
local nearby = redis.call('GEORADIUS', KEYS[1], ARGV[1], ARGV[2], 1, 'km')
-- Checks altitude differences using ZSCORE
Streams, for real-time alerts. little to no alerts will be missed with faster replication.
# Trigger alert
redis.xadd(
"conflict_alerts",
{"trigger_id": "flight123", "conflicts": "flight456"}
)
# Frontend consumes via WebSocket
alerts = redis.xread({"conflict_alerts": "$"}, block=0)
Multithreaded I/O to optimize performance. This allows for more that 1000+ concurrent aircraft updates to be handled.
The combination of geospatial, streaming, and Lua scripting creates a unique traffic management system.
Architecture Diagram
This content originally appeared on DEV Community and was authored by Seb

Seb | Sciencx (2025-08-09T07:44:16+00:00) Redis 8 beyond caching to uniquely powerful traffic management system.. Retrieved from https://www.scien.cx/2025/08/09/redis-8-beyond-caching-to-uniquely-powerful-traffic-management-system/
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