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.

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.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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