deletions | additions       diff --git a/subsection_Behaviour_and_Safety_Indicators__.tex b/subsection_Behaviour_and_Safety_Indicators__.tex  index 3a22e35..06d85f1 100644  --- a/subsection_Behaviour_and_Safety_Indicators__.tex  +++ b/subsection_Behaviour_and_Safety_Indicators__.tex 
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In addition to the surrogate safety measures outlined above, additional measures of behaviour describing instantaneous collision-course situations are stored alongside each pair of road user and TTC measure. These include 15-s exposure, a micro-measure of exposure, which counts the number of road users present within the merging zone 7.5~s before and after the collision course is modeled, as well as intersection angle, which measures the angle of approach of the road users at the instant of the collision course in degrees. This angle is $0^{\circ}$ when the road users are following each other and $180^{\circ}$ when approaching others head on.  \subsubsection{Advanced Motion Prediction Methods  for TTC} As stated previously, computing the TTC requires motion prediction methods to identify collision course situations. The most common motion prediction method is constant velocity. Given the non-linear driving required to navigate the deflection induced by roundabout central islands and approaches, a more sophisticated motion prediction model is used in this work instead: the motion prediction model based on discretized motion pattern developed specifically to address the issues of modeling movement in complex environments like roundabouts~\citep{St_Aubin_2014}. %It should be noted, however, that $TTC_{cmp}$ is by no means specific to roundabouts.