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AIRLIB , the first Automotive Air Quality Data Analytics Platform

AIRLIB will help millions of users breathe better in their car by using high resolution real-time urban pollution maps

Photo of Herve Borrel
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Airlib collects traffic pollution data from vehicles in traffic to create unprecedented high-resolution real-time urban pollution maps. The Airlib maps can be used to automatically optimize the air intake flap position, to keep the pollution peaks out, and minimize the average cabin pollution. The benefits in terms of health improvements and health cost savings will be very significant. Airlib can also be used to propose less polluted routes to drivers, bikers and even pedestrians. Airlib will be the "Waze" of traffic pollution.

Describe who will use your solution (1,000 characters)

During the pilot in Pittsburgh, 20 to 100 users will use AIRLIB. Their car will be equipped with an AIRLIB sensor and they will get the AIRLIB app on their smartphone (Android or IOS). Longer term, when the data is collected from production Air Quality sensors, millions of users will be able to use AIRLIB in the city, even without a sensor on-board.

Describe your solution's stage of development

  • Pilot - you have implemented your solution in a real-world scenario

Tell us about your team or organization (500 characters)

We are 3 founders located in Arizona, the Bay area, and Paris. We have a team of 3 software developers: Android, IOS, + back-end software. We have partners and advisors that help us for business development and marketing.

Size of your team or organization

  • 2-10

Funding Request

  • $25,000

Describe how you would pilot your idea (1000 characters)

We will supply up to a 100 sensors and install them on cars, so the data can be collected during a few weeks or months. Ideally each car will cover >100 miles per day, to map as many roadways as possible. We will create a dedicated server for Pittsburgh to make the maps accessible to the pilot participants and managers. Longer term we will make money by selling the map data to: - Car manufacturers so they implement air quality optimization functions based on air intake flap control - Big data companies such as Google who will make some of the pollution maps available to the public - Insurance companies, sporting goods companies, weather forecast companies, who will develop their own API using the pollution data, to provide specific target groups with information and tools to minimize their exposure to pollution

Describe how you would measure the success of your pilot (1000 characters)

The pilot will be successful if we get enough pollution data to map the city's pollution (Volatile Organic Compounds, VOCs, and Nitrogen oxides, NOX) with enough resolution in space and time. The target is 100 cars x 100 miles/day x 100 days = 1 million miles. This will lead to unprecedented pollution maps for Pittsburgh. The sensors, the apps and the mapping algorithms themselves, have been successfully tested in Phoenix Arizona. The technical risks are therefore limited.

1 comment

Join the conversation:

Photo of Idrees Mutahr

Thank you for the post Herve! I am one of the facilitators for this challenge, I think finding new ways to collect data about traffic pollution could be very valuable to the city from a public health perspective.