Airnode

Air quality Predictions and insights where to walk, live, work and play to stay health catalysing a move to a more environmental friendly world. When designing a transport network or your next your journey reduce your impact on air quality, avoid inflaming hotspots and reduce your emission along with your fuel consumption Firstly, in 2016 AirNode was select on the Scottish Government CivTech pilot accelerator to work with Scottish environmental protection agency. This produced an easy to use application for Scottish Environmental Protection Agency to do Air Quality Modelling. Secondly, this was completement by funding to collaborate with Napier University to produce a machine learning AQ prediction application. Thirdly, this has been further advanced by an procurement for the lead AQ predictors' European centre of medium range weather forecast (ECMWF) to validate low cost AQ sensors and compare to AQ predictions. Fourthly, a collaboration with Nottingham Trent University allows install an AQ network on campus and optimising transport modes around campus.