Title :
Big data challenges in railway engineering
Author :
Attoh-Okine, Nii
Author_Institution :
Dept. of Civil & Environ. Eng., Univ. of Delaware, Newark, DE, USA
Abstract :
As Big Data becomes part of railroad data analysis, there are many challenges which need to be addressed by the railway industry. This extended abstract highlights some of the challenges from specific examples in railway engineering. This work does not present the challenges of dealing with Big Data in general which is beyond the scope of this paper. The examples provided in this extended abstract cover both the engineering and the management of railroad applications.
Keywords :
Big Data; data analysis; railway engineering; railway industry; Big Data; railroad data analysis; railway engineering; railway industry; Big data; Data analysis; Databases; Geometry; Rail transportation; Rails; Railway engineering; Big Data; Geometry Defects; Privacy; Rail Defects; Railway;
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/BigData.2014.7004424
