  In recent years, and especially since the development of the smartphone,
enormous amounts of data relevant for transportation have become available.
These data hold out the potential to redefine how transportation system (i.e.
design, planning and operations) is done. While researchers in both academia
and industry are making advances in using this data to transportation system
ends (e.g. information inference from collected data), little attention has
been paid to four larger scale challenges that will need to be overcome if the
potential for Big Transportation Data is to be harnessed for transportation
decision-making purposes. This paper aims to provide awareness of these
large-scale challenges and provides insight into how we believe these
challenges are likely to be met.

Computers and Society