  Naturalistic driving studies seek to perform the observations of human driver
behavior in the variety of environmental conditions necessary to analyze,
understand and predict that behavior using statistical and physical models. The
second Strategic Highway Research Program (SHRP 2) funds a number of
transportation safety-related projects including its primary effort, the
Naturalistic Driving Study (NDS), and an effort supplementary to the NDS, the
Roadway Information Database (RID). This work seeks to expand the range of
answerable research questions that researchers might pose to the NDS and RID
databases. Specifically, we present the SHRP 2 NDS Video Analytics (SNVA)
software application, which extracts information from NDS-instrumented
vehicles' forward-facing camera footage and efficiently integrates that
information into the RID, tying the video content to geolocations and other
trip attributes. Of particular interest to researchers and other stakeholders
is the integration of work zone, traffic signal state and weather information.
The version of SNVA introduced in this paper focuses on work zone detection,
the highest priority. The ability to automate the discovery and cataloging of
this information, and to do so quickly, is especially important given the two
petabyte (2PB) size of the NDS video data set.
