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Data science applications to connected vehicles: Key barriers to overcome

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Abstract

The connected vehicles will generate huge amount of pervasive and real time data, at very high frequencies. This poses new challenges for Data science. How to analyse these data and how to address short-term and long-term storage are some of the key barriers to overcome.

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  • Alvaro Gomez Losada, 2017. "Data science applications to connected vehicles: Key barriers to overcome," JRC Research Reports JRC108572, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc108572
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC108572
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    1. Carbone, Anna & Jensen, Meiko & Sato, Aki-Hiro, 2016. "Challenges in data science: a complex systems perspective," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 1-7.
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