In February, emergency teams in São Paulo were on standby three times within a week to potentially close portions of the Rio-Santos highway connecting Rio de Janeiro to Ubatuba, due to excessive rainfall. The closure alerts were supported by artificial intelligence derived from meteorological analyses. Unlike other highways in the state that were proactively closed this summer, such as Mogi-Bertioga and Tamoios, the Rio-Santos highway did not require emergency action, showcasing the effectiveness of advanced weather forecasting techniques.

Highway concessionaires in São Paulo have been investing in advanced weather forecasting services that incorporate artificial intelligence, alongside the installation of rain gauges and meteorological stations, particularly in mountainous areas prone to landslides and tree falls. This investment is part of a broader strategy to enhance roadway safety and minimize the risk of disruptions during severe weather conditions.

The implementation of five monitoring devices for rainfall and geotechnical alerts represents a significant leap in proactive road management. This approach not only aims to protect travelers but also demonstrates the integration of technological advancements in infrastructure planning and disaster preparedness in Brazil, highlighting a shift towards utilizing data-driven solutions for public safety in the face of climate challenges.