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" BoaT: A Domain Specific Language and Shared Data Science Infrastructure for Large Scale Transportation Data Analysis "
Islam, Johirul
Rajan, Hridesh
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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1053119
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| Doc. No
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TL52236
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| Main Entry
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Islam, Johirul
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| Title & Author
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BoaT: A Domain Specific Language and Shared Data Science Infrastructure for Large Scale Transportation Data Analysis\ Islam, JohirulRajan, Hridesh
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| College
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Iowa State University
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| Date
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2019
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| Degree
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M.S.
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| student score
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2019
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| Note
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35 p.
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| Abstract
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Big data-driven transportation engineering has the potential to improve utilization of road infrastructure, decrease traffic fatalities, improve fuel consumption, and decrease construction worker injuries, among others. Despite these benefits, research on big data-driven transportation engineering is difficult today due to the computational expertise required to get started. This thesis proposes BoaT , a transportation-specific programming language, and its big data infrastructure that is aimed at decreasing this barrier to entry. Our evaluation, that uses over two dozen research questions from six categories, shows that research questions are easier to realize as BoaT computer programs, an order of magnitude faster when these programs are run, and exhibit 12-14x decrease in storage requirements.
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| Descriptor
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Computer science
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Rajan, Hridesh
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| Added Entry
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Iowa State University
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