Campus Units
Civil, Construction and Environmental Engineering, Computer Science
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
6-2019
Journal or Book Title
Journal of Big Data Analytics in Transportation
Volume
1
Issue
1
First Page
83
Last Page
94
DOI
10.1007/s42421-019-00006-8
Abstract
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.
Copyright Owner
Springer Nature Singapore Pte Ltd.
Copyright Date
2019
Language
en
File Format
application/pdf
Recommended Citation
Islam, Md Johirul; Sharma, Anuj; and Rajan, Hridesh, "A Cyberinfrastructure for Big Data Transportation Engineering" (2019). Computer Science Publications. 20.
https://lib.dr.iastate.edu/cs_pubs/20
Comments
This is a pre-print of an article published as Islam, Md Johirul, Anuj Sharma, and Hridesh Rajan. "A Cyberinfrastructure for Big Data Transportation Engineering." Journal of Big Data Analytics in Transportation 1, no. 1 (2019): 83-94. The final authenticated version is available online at DOI: 10.1007/s42421-019-00006-8. Posted with permission.