3. Analyzing results#

Result analysis menu gives access to two tools, which are a simple visualization of individual paths recorded in the demand database under Path_links and a dynamic visualization for the data from the results table LinkMOE.

Result analysis menu _images/blank.png

3.1. Visualizing individual paths#

In some instances, the user may want to plot paths recorded during simulations in order to better understand (debug) results. For that case, this tool allows the user to simply type the ID of the path of interest and select whether to select links from the link layer or to copy the links that are part of the path into a new layer.

Show path from de demand database

Using the tool is extremely simple.

Plotting a simulated path

3.2. Traffic assignment visualization#

After loading the result database the user can select the menu for mapping the link result, which will present them with the following screen.

Configuration of the traffic visualization map

In this screen, the user can choose the initial time interval for which the map will be made, as well as the metrics to be mapped as a width range and as a color range in the map.

Note that that the user is NOT required to use both thickness and color ramp for any plot, although we have found that certain combinations like density and volume are particularly insightful.

When not setting up the color ramp as the secondary measure for depiction, the user can also set the desired color for the thickness map, which will look somewhat like the map below.

Traffic flow example map

Note

The user should be aware that loading the a results database requires that QPolaris reads a large amount of data for caching, which is what allows for a smooth experience while navigating the data. This may take up to several minutes, so be patient!

3.2.1. Scenario comparison#

Besides visualizing traffic results for the active iteration, the user can also compare any two iterations available in the model root folder. This can be achieved by selecting Compare iterations from the drop-down selector on the top of the tool window, which reveals two drop down menus with all the iterations to choose from, as shown below.

Traffic flow example map

It is also possible to compare an iteration from the active model with those from an interation from a different model run. This can be achieved by selecting Compare across model runs from the drop-down selector on the top of the tool window, a bow from which the user can select the iteration from the active model to compare. The user will have to load the new model by clicking on the Open model button and navigating to the folder with the model to compare. Successfully selecting the new model’s folder will load all ts iterations in the second drop down box, from which the user can select the iteration to compare.

Traffic flow compare with other models

In both of these cases the user can only choose one metric, and colors are set by default.

3.3. KPI and KPI comparison charts#

QPolaris provides an interface to the Polaris-Studio KPI comparator class, allowing for seamless visualization of all KPI comparison charts available in that class. Access to the interface is possible through the menu Result Analysis -> plot KPIs

KPI comparison menu

The actual interface to the KPI plotting tool is extremely simple, and allows users to select one chart at a time with any arbitrary number of iterations. As shown in the animation below, charts change dynamically as the user adds or removes model iterations to the chart or changes the chart selection, so no buttons or drop down menus are required.

KPI comparison menu

Note

KPIs that have not yet been computed and cached can take many seconds to load for the first time