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Roving air quality monitor example data usage

From: Ted Guild <ted@w3.org>
Date: Wed, 28 Nov 2018 16:10:09 -0500
Message-ID: <8b93f67ec4dacb22b5c65d9a4d1de98213240bbe.camel@w3.org>
To: public-autowebplatform <public-autowebplatform@w3.org>
The scenario I had in mind stems from a hasty conclusion I drew when I
saw an early prototype of VISS done by NewSky and Baidu on city buses
in China. The data points on the active city maps was showing a small
number of data points including location and engine temperature. I
wondered if they were deducing air quality based on how rich or lean
the engine was running. They weren't, it was a random selection of data
points. We heard last week on the Working Group call however where one
of the many IoT uses of vehicles is as a roving air quality sensor with
the aid of aftermarket sensors likely measuring parts per million of
pollutant particles. There may be inferences that can be drawn in the
absence of such a specific sensor based on the signals information

One of my children suffer from asthma and impacted by air quality so as
a parent, I would not only wish to learn overall air quality where I
live but pockets that might have worse quality to avoid. I would also
be willing to participate in the data collection provided the service
and researchers are not collecting any identifying information about

For this exercise we will provide verbose policy example, who is giving
permission to collect which data to be shared with which parties for
what specific purposes. Later we can take our examples and work them
into an actual policy language format.

I would be willing to provide information on engine performance, O2
measurements, my location, rain, temperature, etc to designated
researcher who in turns makes the data available realtime for air
quality reports. 

There may be additional data points that can help provide answers on
air quality that are not obvious to me. These seem plausible and
sufficient for this exercise. Falling rain cleans the air and is
certainly a factor as is humidity that can exacerbate.

From VSS here are some potential data points that might contribute to
such a use case:




Signal.Drivetrain.InternalCombustionEngine.MAF (Grams of air drawn into
engine per second)




Longitude Latitude and Altitude.

Ted Guild <ted@w3.org>
W3C Automotive Lead

Received on Wednesday, 28 November 2018 21:10:12 UTC

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