Published December 6, 2022
| Version 0.1
Software
Open
Design of a pollution ontology-based event generation framework for the dynamic application of traffic restrictions
Authors/Creators
- 1. International University of La Rioja
- 2. University of Castilla-La Mancha
- 3. Delft University of Technology
Description
Madrid City Data 2021
- Weather data (weather_data_2021.csv)
- Air Quality Data (aq_data_2021.csv)
- Traffic Data (traffic_data_2021.csv)
- Calendar Data (date_data_2021.csv)
Madrid Pollution Ontology (Neo4J)
- Docker-compose (neo4j-docker-compose.yml)
- Pollution protocol (aq_level.owl)
- Pollution Ontology image (pollution_ontology.png)
- Pollution Ontology Querys (polluton_ontology_querys.txt)
- Ontology test (aq_level.csv)
Statistical-based feature selection analysis
- Docker-compose (jupyter-docker-compose.yml)
- Feature selection Analysis (data_analysis.ipynb)
- LSTM-RNN Forecasting (aq_lstm.ipynb)
Files
aq_data_2021.csv
Files
(2.3 GB)
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