this is for holding javascript data
Paul St-Aubin edited Results Sample HLI.tex
about 9 years ago
Commit id: 50e62bdc75d0c95a9705bdbdaa483fa2065efcbf
deletions | additions
diff --git a/Results Sample HLI.tex b/Results Sample HLI.tex
index 6ae0a85..41352d2 100644
--- a/Results Sample HLI.tex
+++ b/Results Sample HLI.tex
...
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}