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\subsection{Overview}  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 methodology. Video  data is collected for the study: for a cross-sectional study,  at a sample number  of sites with adequate representation of these factors, while controlling for as many other contributing  factors as possible. and controlled external factors; for a before-after study, at one or more sites before and after a change in contributing factors.  With scene data and camera calibration parameters, feature tracking can be is  performed to extract road user  trajectories. The trajectories are raw in the form of  spatial-temporal position data of moving objects within the scene. This positional data is then  processed to obtain derived measures such as speed, heading and acceleration. Finally, scene information can be added to obtain higher-level data, data is analysed and interpreted in a variety of ways: i) simple summaries such as average speed, counts; ii) generalised spatial relationship analysis,  such asmovements referenced by lane,  conflict measures, and other analysis; iii) or  high-level interpretation behavioural measures (specific which attaches additional scene information (typically specific  to the study). study) to trajectories such as summaries by lane, at specific locations, gap times, motor vehicle infractions, etc.  With a large amount of potential contributing factors (e.g. site characteristics), it may be beneficial to apply site clustering techniques before initiating behavioural measure correlation.