BoaT: A Domain Specific Language and Shared Data Science Infrastructure for Large Scale Transportation Data Analysis
نام عام مواد
[Thesis]
نام نخستين پديدآور
Islam, Johirul
نام ساير پديدآوران
Rajan, Hridesh
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Iowa State University
تاریخ نشرو بخش و غیره
2019
يادداشت کلی
متن يادداشت
35 p.
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
M.S.
کسي که مدرک را اعطا کرده
Iowa State University
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Computer science
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )