deletions | additions       diff --git a/Methodology Complementary Data.tex b/Methodology Complementary Data.tex  index 5737cda..7bf4cf9 100644  --- a/Methodology Complementary Data.tex  +++ b/Methodology Complementary Data.tex 
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Once trajectories are clustered, a network topology is constructed in order to be able to intelligently propagate future possible positions of moving objects through the network. In simple networks (i.e. two alignments), these movements are implicitly defined simply by observing lane change ratios, but in more complex networks, such as the network shown in Figure~\ref{fig:complex-network}, movements may involve multiple lane changes and therefore may require a more generalized approach. A recursive tree model is employed.  Alignment extremities are linked to other nearby alignments, creating diverging or converging branches, as are momentarily adjacent alignments. Alternatively, In addition,  alignments which run parallel over a distance of more than 15 metres are instead grouped into corridors over which lane changes may occur freely. This creates a series of links and nodes with implicit direction which can be searched to determine all possible future positions of a moving object inside this network. This serves to reduce processing times of spatial relationship calculations between objects (triage) and provides more intelligent interpretation of spatial relationships. \subsubsection{Geometric data/inventory}