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\subsection{Traffic Data}  Traffic flow data is produced obtained  from the primary traffic data collection: automated analysis video data:  vehicle trajectories extracted from video data using computer vision techniques built for traffic analysis applications. In this case, the computer vision tool used is the Traffic-Intelligence project, an open-source traffic-analysis software \cite{Jackson_2013}. See section \ref{data-size} for more details on the source and size  of the  data. Trajectory data is formed from feature tracking of moving features within camera space. These feature tracks are a series of continuoisly measures measured  positions and velocity vectors mapped to real coordinates using a scene projection transformation by way of a homography matrix. These features are continuous continuous,  forming a path (trajectory) moving through space and time representing the movment of a vehicle or other road user  through the scene. Features are clustered grouped  together into objects using algorithms specifically  calibrated algorithms  for the task of identifying individual road users in the  a scene. scene (though context-insentivive classification is still work in progress).  Some secondary-pass secondary  filtering techniques were developped to automate validation and error correction \cite{Jackson_2013}. \cite{Jackson_2013, St_Aubin_2014}.  Traffic flow and flow ratios  can be obtained by counting performing counts on  these objects according to the traffic flow metric's context. context of the specific metric. In this case we collect per-lane per-hour counts over the time which the study is being conducted.  \subsubsection{Speed}  Speed is similarly obtained from trajectory data. It is derived from position observations between successive frames. It should be noted that a moving average filter of roughly 5 frames is applied to this data to correct for inaccuraies introduced by te pixels, but this still corresponds to speed measurements performed several times per second per object.  \subsubsection{Time-to-collision}  **Which TTC to use? Cross-reference the second TRB paper. There will be overlap on that content**