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Figure~\ref{fig:1} outlines the general data collection and analysis framework. For a given research mandate, factors are selected for testing and a set of video data is collected at a sample of sites with adequte representation of these factors, while controlling for as many other factors as possible. With scenery data and camera calibration parameters, feature tracking can be performed to extract trajectories. The trajectories are raw spatial-temporal position data of moving objects within the scene. This positional data can be derived to obtain derived measures such as speed, heading and acceleration. Finally, scenery data can be used to extract higher-level data, such as curvilinear movements, conflict measures, and other high-level interpretation behavioural measures (specific to the study). With a large amount of testable factors, it may be beneficial to apply site clustering techniques before initiating behavioural measure correlation.  \subsubsection{Data Model}