🚒 Arcadia · Emergency Dispatch System

Real-time geospatial dispatch system for emergency units
Built for firefighters, ambulances, and police — low latency, high availability, event-driven.

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🎯 Problem & Solution

Emergency dispatch systems in many regions still rely on radio or manual coordination. Arcadia solves this by:

• 📡 Real-time telemetry from field units (GPS coordinates, status, ETA)
• 🗺️ Geospatial analytics for optimal unit assignment (closest, fastest route)
• 🔄 Event-driven architecture for horizontal scalability
• 📊 Live visualization via interactive map interface

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🛠 Tech Stack

Layer	Technology	Purpose
Producer	Python	Simulates unit telemetry events
Streaming	Redpanda (Kafka-compatible)	Event bus, high throughput ingestion
Backend	Go + pgxpool	High-performance API, geospatial processing
Database	PostgreSQL + PostGIS	Spatial queries, centroids, distances
Frontend	Leaflet.js + Tailwind CSS	Real-time map rendering
Orchestration	Docker Compose	Multi-service local development

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🏗️ Architecture

┌─────────────┐ ┌─────────────────┐ ┌─────────────┐ ┌──────────────┐ │ Producer │───▶│ Redpanda │───▶│ Backend │───▶│ PostGIS │ │ (Python) │ │ (Kafka API) │ │ (Go) │ │ (Database) │ └─────────────┘ └─────────────────┘ └──────┬──────┘ └──────────────┘ │ ▼ ┌─────────────┐ │ Leaflet │ │ (Frontend)│ └─────────────┘

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Data flow:

1. Producer simulates emergency units sending GPS pings
2. Redpanda buffers and streams events to consumers
3. Go backend consumes, validates, and stores in PostGIS
4. Frontend queries API → PostGIS spatial calculations → map updates

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🚀 Quick Start

Prerequisites

• Docker Desktop
• Go 1.21+
• Python 3.12+

Run it (5 minutes)

# 1. Clone
git clone https://github.com/KelvinW918/Aragua_on_fire.git
cd Aragua_on_fire

# 2. Start infrastructure (Postgres + Redpanda)
docker-compose up -d

# 3. Run backend
cd backend-go
go run main.go

# 4. Run producer (in another terminal)
cd ..
python stress_producer.py

# 5. Open frontend
# Open frontend/index.html in your browser
📊 Sample Queries (PostGIS)
sql
-- Find nearest unit to an incident (within 5km)
SELECT unit_id, coordinates, status,
       ST_Distance(coordinates, ST_SetSRID(ST_MakePoint(-66.9, 10.5), 4326)) as distance
FROM units
WHERE ST_DWithin(coordinates, ST_SetSRID(ST_MakePoint(-66.9, 10.5), 4326), 5000)
ORDER BY distance ASC
LIMIT 1;

-- Cluster active units by sector
SELECT ST_ClusterKMeans(coordinates, 4) as cluster_id,
       COUNT(*) as units_count
FROM units
WHERE status = 'active'
GROUP BY cluster_id;
📈 Performance Characteristics
Metric	Value
Event throughput	~10,000 events/sec (Redpanda)
API latency (p95)	< 50ms
Spatial query time	< 10ms (with PostGIS indexing)
Concurrent units supported	5,000+
🔮 Roadmap
WebSocket support for real-time frontend updates

Route calculation using pgRouting

Historical trip replay & analytics

Mobile app for field units

Kafka Streams for real-time ETA prediction

👤 Author
Kelvin W.
Systems Engineer · Product Architect
GitHub · LinkedIn

📄 License
MIT — free for use, modification, and distribution.

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