Paul St-Aubin edited Results Sample HLI.tex  about 9 years ago

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Due to the large number of potentially contributing factors (at least 20) and the relatively small number of corresponding sites, sites were clustered into 6 groups according to Table~\ref{tab:cluster_ttc_profile} using k-means.  \begin{table}  \caption{K-means clusters for weaving zone sites}  \label{tab:cluster_ttc_profile}  \begin{tabular}{llll}  \textbf{Cluster} & \textbf{Description} & \textbf{Group size} & \textbf{Observations} \\ \hline  c1\_t & Small single and double lane residential collectors & 11 & 4,200 \\  c2\_t & Single-lane regional highways and arterials with speed limits of 70-90 km/h and mostly polarised flow ratios & 16 & 26,243 \\  c3\_t & 2-lane arterials with very high flow ratios & 5 & 13,307 \\  c4\_t & Hybrid lane 1->2 2->1 arterials with very low flow ratios & 3 & 4,809 \\  c5\_t & Traffic circle converted to roundabout (2 lanes, extremely large diameters, tangential approach angle) & 4 & 10,295 \\  c6\_t & Single-lane regional highway with large-angle quadrants (140 degrees) and mixed flow ratios & 2 & 2,235 \\  ~ & ~ & ~ & ~ \\  ~ & ~ & ~ & ~ \\  \end{tabular}  \end{table}  The cumulative distribution of 15th percentile motion pattern TTCs is broken down by roundabout cluster as illustrated in Figure~\ref{fig:TTC_CDF}. Cluster $cl_3$ offers the best and clear safety benefits while cluster $cl_5$ offers markedly decreased safety performance. $cl_6$ is ambiguous  \subsection{Sample High-Level Interpretation Analysis}  \label{sample_HLI_analysis}