![]() Bias was assessed by measurements obtained from parked cars using the standard deviation of median values over a collocated measurement period, as well as by Passing-Bablok regression statistics while the cars were moving and collocated. We used the median absolute deviation (MAD) to estimate instrument precision from outdoor, parked collocations. Augwas dedicated to parked and moving collocations among the three cars, allowing an assessment of measurement precision and bias. They were driven throughout the greater Denver metropolitan area between Jand August 14, 2014, measuring ozone (O 3), nitrogen dioxide (NO 2), nitric oxide (NO), black carbon (BC), and size-resolve particle number counts (PN) between 0.3 μm and 5.0 μm diameter. mobile air pollution measurement and data acquisition platform installed on three Google Street View cars. ![]() We used robust statistical methods to assess mobile platform performance using data collected with the Aclima Inc. Characterizing instrument performance in the mobile context is challenging, but necessary to analyze and interpret the resulting data. ![]() Mobile mapping of air pollution has the potential to provide pollutant concentration data at unprecedented spatial scales.
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