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\subsection{Traffic Flow Data}  Traffic flow data is measured produced  from the primary traffic data collection, that is collection:  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 of data. Trajectory data is formed from feature tracking of moving features within camera space. These feature tracks are a series of continuoisly measures positions and velocity vectors mapped to real coordinates using a scene projection transformation by way of a homography matrix. These features are continuous forming a path (trajectory) moving through space and time representing the movment of a vehicle through the scene. Features are clustered together into objects using algorithms calibrated for the task of identifying individual road users in a scene. Some secondary-pass filtering techniques were developped to automate validation and error correction \cite{Jackson_2013}. Traffic flow can be obtained by counting these objects according to the traffic flow metric's context.  \subsection{Behavioural Data}