The proposed method is now applied with an example scenario which is the same as case study 1 in (Hoogendoorn,
Daamen, Duives, & van Wageningen-Kessels, 2014) or to be more precise in as much agreement as possible according
to the information in the paper. Figure 6 shows the example and the intermediate destination areas and four routes
which are calculated with the method proposed above. As base for the pedestrian simulation we have used PTV
Viswalk (PTV Group, 2011) which is built on the combination of two variants (circular and elliptical II) of the Social
Force Model (Johansson, Helbing, & Shukla, 2007). We have sticked with the Viswalk default parameters of the
Social Force Model which especially implies that we have used the speed distributions as the International Maritime
Organization defines them for men and women between 30 and 50 years (International Maritime Organization, 2007).
The four routes and the average travel times of these are used for an assignment. We do the assignment twice with
two different initial conditions: a) equal load on each route and b) 97% load on route 4 (which is the shortest one) and
1% on each of the three other routes. The calculation of the new route choice ratios for the next iteration is done in a
very simple way. The probability to choose the route with the longest average travel time tMax is reduced by the same
amount