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\section{Introduction}  The use of video data for automatic analysis has been on an upward trend as more powerful computational tools and detection and tracking technology become available. \subsection{Motivation} The improvement of computer vision is particularly important in surrogate safety analysis such as in \cite{St_Aubin_2013} where automated tracking of trajectories is used to evaluate the safety performance of merge zones on highway ramps. \cite{Moreno_2013} performed a study evaluating speed as a measure of safety performance where specialized equipment needed to be installed. The Ministère des Transports du Québec already close to full video coverage of all the highways in the city of Montreal. With proper computer vision technology, speed profiles could be developed and evaluated at larger scale than was previously feasible.