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Nicolas Saunier edited subsection_Behavioural_and_Safety_Measures__.tex
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\subsection{Behavioural \subsection{Behaviour and Safety Measures}
The parameters of interest for this particular study are the most notable surrogate
safety measures: speed, time-to-collision (TTC)~\citep{Hayward_1971}, and post-encroachment time (PET)~\citep{allen1978analysis}. The PET is measured specifically at the merging zone yield line, where encroachment is prohibited by way of mandated yielding on the part measures of
safety: two measures obtained directly from the
approaching observed road user
only, trajectories, speed and
is denoted yPET. Speed post-encroachment time (PET)~\citep{allen1978analysis}, and
yPET are measured directly time-to-collision (TTC)~\citep{Hayward_1971}, a measure derived from
position and speed based on assumptions of the
observed road
user trajectories. users' expected motion.
Speed is widely regarded in the literature as a useful predictor of collision severity given the relationship between speed and kinetic energy carried by a road user in motion~\citep{Fildes_1993, elvik2004speed}.
Meanwhile, TTC, measured in units of time, is one of the most popular surrogate safety measures intended as a generalised measure of collision probability as it models "near-miss" situations between any types of road users traveling anywhere, at any speed. It is most easily understood as remaining time before a potential collision ensues before a road user initiates evasive action (if at all). In its most basic form, motion prediction at constant velocity \citep{Amundsen_1977}, TTC is the distance between any two road users, at any time, divided by the differential speed between the two.
Like TTC, yPET Provided that road user trajectories overlap, PET is measured in units of time and describes "near-miss"
situations in a similar fashion, though, unlike TTC, without making any assumptions of motion, relying exclusively on observed behaviour. It situations. In this study, the PET is
thus less flexible in modeling as great a variety measured specifically at the merging zone yield line, where encroachment is prohibited by way of
potential outcomes without significantly larger quantities mandated yielding on the part of
observed data. Nevertheless, the approaching road user only, and is denoted yPET. yPET is of interest as a model of yielding behaviour and merging aggressivity as it is associated with gap time and gap acceptance. Note that yPET values can be of any
size, given that the only requirement is that the road user trajectories overlap each other. If size: if demand is low, some
of these arrivals may be minutes apart and would thus obviously hold no value in interpreting interaction safety. To counter this, a conservative maximum threshold of consideration of 5~s on yPET is used. This value is arbitrarily selected to reject those interactions where it is very clear that road users are not coexisting in time and space (the dwell time across each merging zone rarely surpasses 5 seconds). %$\zeta_{PET} < 5$
In addition to Like PET, TTC is defined for pairs of road users and measured in units of time. It is one of the
most popular surrogate safety
measures outlined above, additional measures of behaviour describing instantaneous collision-course conditions measures. It can be computed only if the road users are
stored alongside each collision-course model (i.e. each TTC measure). These include 15-s exposure, in a
micro-measure situation of
exposure, which counts collision course, where the
number of road
users present within the merging zone 7.5~s before and after the uses would collide if their movements remain unchanged. Identifying a collision course
at a given instant thus depends on a method to predict the road users' motion after that instant. TTC is
modeled, as well most easily understood as
intersection angle, which measures the angle of approach of the
remaining time before a potential collision ensues unless a road
users user initiates evasive action (if at
the instant of the collision course in degrees. This angle all). In its most basic form, motion prediction at constant velocity~\citep{Amundsen_1977}, TTC is
$0^{\circ}$ when the
distance between any two road
users are following each other and $180^{\circ}$ when approaching others head on. users, at any time, divided by the differential speed between the two.
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 Time-to-collision Modelling and
Aggregation} Aggregation TO CONTINUE reorganize}
As stated previously, TTC makes use of collision-course prediction models. Typically, potential collisions are defined as collision-course events using constant velocity motion prediction, i.e. ``with movement remaining unchanged'' \citep{Amundsen_1977}. Given the non-linear driving required to navigate the deflection induced by roundabout central islands and approaches, a more sophisticated collision-course prediction model is used in this work instead: the discretized motion pattern motion prediction model developed specifically to address the issues of modeling movement in complex environments \citep{St_Aubin_2014} i.e. $TTC_{cmp}$. It should be noted, however, that $TTC_{cmp}$ is by no means specific to roundabouts.