Design of a pollution ontology-based event generation framework for the dynamic application of traffic restrictions

David Eneko Ruiz de Gauna; Luis Enrique Sánchez; Almudena Ruiz-Iniesta; Mireia Yurrita

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ZENODO

Software . 2022

License: CC BY

Data sources: Datacite

ZENODO

Software . 2022

License: CC BY

Data sources: ZENODO

Design of a pollution ontology-based event generation framework for the dynamic application of traffic restrictions

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 Dec 2022 English Publisher:Zenodo

Authors: David Eneko Ruiz de Gauna; Luis Enrique Sánchez; Almudena Ruiz-Iniesta; Mireia Yurrita;

doi: 10.5281/zenodo.7405672

Design of a pollution ontology-based event generation framework for the dynamic application of traffic restrictions

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Abstract

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)

Related Organizations

Delft University of Technology
Netherlands
University of Castile-La Mancha
Spain
Universidad Internacional De La Rioja
Spain

Keywords

Traffiic, Weather, Calendar, Air Quality

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