Cloud · IoTApplied academic project2026
Smart Parking Albacete
Cloud IoT platform that collects real-time data from 40 simulated parking sensors and serves it in a web dashboard, using AWS Lambda, DynamoDB and MQTT.
- Python3.13
- AWSIoT Core · Lambda · DynamoDB · API Gateway
- MQTTmTLS
- StreamlitDashboard
- OpenAPI3.0
- LicenseAcademic
Problem
Validate a smart-parking IoT platform from telemetry through to an API and a map dashboard.
Architecture
Simulated sensors publish over MQTT with mTLS to AWS IoT Core. Lambda processes and aggregates state in DynamoDB, API Gateway exposes it and Streamlit visualises it.
Data flow
Simulated sensor → MQTT/TLS → IoT Rule → Lambda → DynamoDB → API Gateway → Streamlit.
Results
40
Simulated sensors
View source< 2 s
Pilot latency
View source~4 eventos/min
Sustained rate
View source< 5 USD/mes
Estimated pilot cost
View sourceContribution and authorship
- Serverless IoT architecture and data-model design
- Implementation of simulators, Lambdas, API and dashboard
- Idempotent deployment and teardown automation in AWS Academy
Alonso Marcos Muñoz · Author and developer
Evidence
Limitations
- • The pilot uses simulated sensors and does not validate physical sensor electronics
- • The real deployment ran in AWS Academy and the public demo uses a deterministic fallback
- • FIWARE and Flink are documented as future evolution and are not implemented in the pilot
Stack