Abstract
One of the goals of the Research and Innovative Technology Administration’s IntelliDriveSM initiative is for the public and private organizations that collect, process, and generate weather products to utilize vehicle sensor data to improve weather and road condition products. It is likely that some users will not be able to contend with the complexities associated with vehicle data, such as data quality, representativeness, and format. A solution for addressing this issue is to utilize a Vehicle Data Translator (VDT) to pre-process weather-related vehicle data before it is distributed to data subscribers. This paper will describe the VDT and how vehicle data sets are processed by the prototype VDT to generate derived weather and road condition information.
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Drobot, S., Chapman, M., Pisano, P.A., McKeever, B.B. (2010). Using Vehicles as Mobile Weather Platforms. In: Düh, J., Hufnagl, H., Juritsch, E., Pfliegl, R., Schimany, HK., Schönegger, H. (eds) Data and Mobility. Advances in Intelligent and Soft Computing, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15503-1_18
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DOI: https://doi.org/10.1007/978-3-642-15503-1_18
Publisher Name: Springer, Berlin, Heidelberg
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