Campus Units
Civil, Construction and Environmental Engineering, Computer Science
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
2018
Journal or Book Title
arXiv
Abstract
Big Data-driven transportation engineering has the potential to improve utilization of road infrastructure, decrease traffic fatalities, improve fuel consumption, 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 it's Big Data infrastructure that is aimed at decreasing this barrier to entry. Our evaluation that uses over two dozen research questions from six categories show that research is easier to realize as a BoaT computer program, an order of magnitude faster when this program is run, and exhibits 12-14x decrease in storage requirements.
Copyright Owner
The Authors
Copyright Date
2018
Language
en
File Format
application/pdf
Recommended Citation
Islam, Md Johirul; Sharma, Anuj; and Rajan, Hridesh, "A Cyberinfrastructure for BigData Transportation Engineering" (2018). Computer Science Publications. 20.
https://lib.dr.iastate.edu/cs_pubs/20
Comments
This is a manuscript of the article Islam, Md Johirul, Anuj Sharma, and Hridesh Rajan. "A Cyberinfrastructure for BigData Transportation Engineering." arXiv preprint arXiv:1805.00105 (2018). Posted with permission.