Telefónica Case Study: Predicting air pollution levels 24 to 48 hours in advance in São Paulo, Brazil
Wednesday 6 Jun 2018 ｜ Big Data for Social Good |
Telefónica Brazil (Vivo) is working with the municipalities of São Paulo to harness mobile network data to help combat the adverse health impact of air pollution. Developed by the LUCA team, Telefónica’s algorithms use machine learning and anonymised data from the mobile network, combined with data from weather, traffic and pollution sensors, to monitor and predict pollution levels over the entire city. The solution can predict pollution levels 24 to 48 hours in advance, enabling local authorities in São Paulo to take preventative steps if nitrogen dioxide (NO2) emissions could endanger human health.
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