A complete new module was added to assist with developing the equivalencies for the Multi-Point Assignment (MPA). This new module is called 2.7.9 Equivalency File Creator. It also has expanded capabilities for developing .ZSQ files based upon land use data. We have been using and testing sections of this module in our in-house efforts and included them in this module.
Speaking of MPA, we are using it on about six models and have had some good results. It has vastly improved the assignments in places where the traffic analysis zone (TAZ) structure has been insufficient to adequately describe access patterns. Of course, where the TAZ structure is not a problem, it has not changed things significantly. MPA does allow much more control over loading locations, and you should be careful about mis-loading with this powerful tool. The 2.7.9 module includes an option to export a link file containing the loading percentages. This is very useful for plotting over a layer file and checking the loading percentages.
Plots can now be made to the HP ColorJet using the model number designation DJC1. If you are using a new HP750C or 755C, use model number DJC followed by the letter designating the paper size. For example, if you want to plot to a D size sheet, use model number DJCD. If the plot does not appear to be rotated correctly, set nesting to On in your plotter control panel.
We have been asked for the ability to forecast turning movements for a select zone or select link assignment. Turn movements are still saved for the entire assignment; however, you can now use the Fratar method for adjusting the total turn movements to match the volumes of a select zone or select link assignment. See section 1.4.15 for these new options.
Also added was a major enhancement allowing for the export of screenline data to link files. We have been using this feature to plot the screenline locations along with their deviations. When using the Network Graphic Editor to display color and width it becomes very evident what the screenline crossing trends are. This gives one more perspective when assisting with model calibration.