AIRLIB Unveils Ingenious Method for Mapping Air Quality That Slashes Deployment Costs for Worldwide Scaling

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AIRLIB data collection platform taps millions of automotive sensors to build high-resolution, real-time air pollution maps for smart cities and auto OEMs

Airlib air quality data density in the Bay area Source: Airlib

Herve Borrel notes: "The worst air we breathe is in traffic, and most of us spend more than 100 hours in it per year. That is why we created AIRLIB."

AIRLIB reveals a new data collection process for creating high-resolution, real-time urban air quality mapping that radically cuts deployment costs by leveraging the massive pool of millions of automotive air quality sensors. The company’s proprietary data engine captures up to the minute hyperlocal information, so smart cities, car manufacturers, and people can take action against air pollution exposure.

For more than a year, the AIRLIB solution has been mapping pollution on thousands of miles of roadways in Phoenix, Arizona. AIRLIB 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.

Herve Borrel, CEO of AIRLIB notes, “The worst air we breathe is in traffic, and most of us spend more than 100 hours in it per year. 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 maps have 7000 times the spatial resolution and more than 60 times the temporal resolution of typical government air monitoring networks. The resulting spatial-temporal resolution is strikingly greater than what exists today, and is necessary to address the highly variable nature of urban air pollution.

  • Creating a Groundbreaking Air Quality Data Analytics Platform for Smart Cities and Auto Makers

AIRLIB will help hundreds of millions of pedestrians, bikers, joggers, and drivers breathe better in urban centers by using air quality-based navigation to select healthier routes. Data from AIRLIB 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 optimization 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.

About AIRLIB
AIRLIB was founded in 2015 by a team of air quality experts with a mission to outsmart traffic pollution and help everyone breathe better. Leveraging its patented technology, AIRLIB is creating a groundbreaking air quality data analytics platform, so smart cities, car manufacturers, and people can identify areas of poor air quality and take appropriate actions. The company is privately held with headquarters in Scottsdale, Arizona. For more information about AIRLIB, please visit http://www.airlib.co
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Nancy Sheffield
For Airlib Inc.
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