Paul St-Aubin edited Results TTC.tex  almost 10 years ago

Commit id: 5dca5700d3de360d5307377fbab31e6ff5671b3c

deletions | additions      

       

A simple linear regression for aggregated mean speed across the 37 sites is explored first. Including dummy variables from land use categories, over 20 variables are available for modelling. With only 37 sites, this leaves very little room for degrees of freedom. While a handful of factors individually contribute significantly to explaining mean speed, only two to three can be used simultaneously before the model significance starts to erode.  Table~\ref{tab:simple_speed_regression} lists the coefficients and p-values for three factors which stand out: commercial and institutional land-uses as well as number of exit lanes off the roundabout are found to have a traffic calming effect on an average speed of 42 km/h for vehicles travelling through the weaving zone by 5 to 10 km/h. Number of exit lanes having a negative effect on speed is unexpected, may be explained by more regular arrivals of inside of the roundabout providing fewer opportunities for vehicles on the approach to enter the roundabout without stopping. Regardless, in a future study, it should be interesting to compare this effect with yielding behaviour and gap times. Unsurprisingly, speed limits are also correlated with speed, though they are covariant with many built environment factors, so are ignored. The R-squared for this first  model is 0.2766, which offers modest explanatory power. To improve results, site clustering and random effects regression is performed next. \begin{table}  \caption{Linear regression for aggregated mean speed}