A Cyberinfrastructure for Big Data Transportation Engineering

被引：2
作者：
Md Johirul Islam
Anuj Sharma
Hridesh Rajan
机构：
[1] Iowa State University,
来源：
Journal of Big Data Analytics in Transportation | 2019年 / 1卷 / 1期
关键词：
Big data; Domain-specific language; Cyberinfrastructure;
D O I：
10.1007/s42421-019-00006-8
中图分类号：
学科分类号：
摘要：
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 work 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 is easier to realize as a BoaT computer program, an order of magnitude faster when this program is run, and exhibits 12–14× decrease in storage requirements.
引用
收藏
页码：83 / 94
页数：11
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