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AirLib reveals new data collection process for mapping air quality

The company has been mapping pollution on thousands of miles of roadways in Phoenix and the San Francisco Bay Area and is launching in two major European cities.

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AirLib’s proprietary data engine captures up-to-the-minute hyperlocal information
AirLib’s proprietary data engine captures up-to-the-minute hyperlocal information

Air quality data analytics specialist, AirLib, is launching a new data collection process for creating high-resolution, real-time urban air quality mapping that draws from a massive pool of millions of automotive air quality sensors.

 

The company’s proprietary data engine captures up-to-the-minute hyperlocal information so that cities, car manufacturers and people can take action against air pollution exposure. It claims the system radically cuts deployment costs of such mapping systems worldwide.

 

US and European mapping

 

For more than a year, the AirLib solution has been mapping pollution on thousands of miles of roadways in Phoenix, Arizona. It is also currently running in the San Francisco Bay Area, and is launching in two major European cities.

 

One hundred vehicles have been linked to AirLib in the past 12 months and hundreds of thousands of miles of data has been collected. By partnering with cities, taxi and fleet companies, as well as high-mileage drivers, AirLib expects these numbers to multiply 10 times in the coming year.

 

“The worst air we breathe is in traffic, and most of us spend more than 100 hours in it per year,” said Herve Borrel, CEO of AirLib. “That is why we created AirLib. We can gather huge amounts of data to achieve the best air pollution mapping resolution in space and time, and affordably deliver it on a global scale.”

 

With 300 grid points per square mile, AirLib said its maps have 7,000 times the spatial resolution and more than 60 times the temporal resolution of typical government air monitoring networks.

“The worst air we breathe is in traffic, and most of us spend more than 100 hours in it per year”

AirLib’s aim is to will help hundreds of millions of pedestrians, bikers, joggers, and drivers breathe better in urban centres by using air quality-based navigation to select healthier routes. Data from AirLIib air quality maps will allow cities to identify sensitive areas and take appropriate measures regarding traffic control, public transportation and urban planning.

 

Additionally, AirLib will allow auto makers to implement new connected car features including cabin air quality optimisation with automated air recirculation, as well as geofencing strategies. For example, hybrid and internal combustion vehicles will automatically revert to eco-friendly modes in locations with poor air quality. These geofencing features not only help reduce air pollution, but also earn automotive manufacturers’ CAFE (Corporate Average Fuel Efficiency) credits.

 

This week, new research by the European Environment Agency (EEA) revealed that exposure to air pollution caused about 400,000 premature deaths in the European Union (EU) in 2016. Air quality in Europe — 2019 finds that although Europe’s air is getting cleaner, persistent pollution, especially in cities, is still damaging people’s health.

 

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