deletions | additions       diff --git a/Methodolofy Measurement Definitions.tex b/Methodolofy Measurement Definitions.tex  index 89b5c57..008af7f 100644  --- a/Methodolofy Measurement Definitions.tex  +++ b/Methodolofy Measurement Definitions.tex 
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\subsubsection{Motion Prediction}  \label{motion-prediction}  While vehicle trajectories offer a rich set of observed behavioural data, they do not provide much collision data. The proactive road safety approach requires that predicting collisions should be performed without observing them directly. To be studied, collisions must be extrapolated from traffic events with potential for collision. This potential is modelled by predicting future possible positions between each pair of road users at every instant in time. Several motion prediction models are proposed for study, including constant velocity \cite{Laureshyn_2010}, normal adaptation \cite{Mohamed_2013}, and motion patterns \cite{saunier07probabilistic,morris08survey,Sivaraman_2013}, particularly the implementation of a discretized motion pattern \cite{St_Aubin_2014}. Specific details of implmentation implementation  of each method can be found in \cite{St_Aubin_2015_TRBa}. %\begin{itemize}  %\item \textbf{Constant velocity} is the classic motion prediction model, wherein vehicles are projected along straight paths at a constant speed and heading, using the velocity vector at that moment in time. This model is the simplest but also makes the most assumptions: only one movement is predicted at every instant, both users do not enter evasive action in the event of a collision course, and the natural (non-reacting) motion of a moving object is a straight path (not always true). These assumptions may be adequate for specific applications of the methodology, e.g. highways \cite{St_Aubin_2013}. The current implementation is based on \cite{Laureshyn_2010}.