The results of our model reinforced many things we noted during our data collection. The numbers are almost identical whether C=35 or C=70, which means that increasing the number of shuttles or the capacity of each shuttle does not affect the timing of the circulator, so another solution must be found. Next is the average line length, which is a very small value. That is consistent with our data, as the line of passengers rarely exceeded the capacity of the circulator, which is what the line length value is for, line length above capacity of the system. The last two values of note are wait time and average total time. Both of these show values that don’t make sense, which is a flaw in queuing theory not our model. Queuing theory assumes that actions in the system happen immediately, and do not account for outside delays. The correct values for waiting times in our model are discussed in our conclusion.

So far our results have fallen in line with our observations for the most part. Certain parts of our model are inadequately represented purely by queuing theory, so our observations from data collection are used to close these gaps between what we need and what queuing theory provides.