## 3 Methodology
### Calibration Procedures  
The micro-simulation has allowed the evaluation and comparison of some parameters such as pedestrian density, speed and travel time. These values are conditioned by the characteristics of the infrastructure in terms of each scenario and are conditioned by the behavior of the user related to gender, age, etc. Furthermore, the delay was assessed as the difference between the travel time of the walker \"expert\" and the travel time of the same walker that would have experienced if he travelled the shortest route to his preferred speed. In fact, in order to calibrate Viswalk tool, different parameters are considered such us the anisotropy forces or the desired speed, considering the Helbing model. These parameters allow setting the specific ways in not isolated flow condition. In particular, the parameter tau (\(\tau\)) in Viswalk associated with the Social Force model defines the relaxation time in seconds. It can be interpreted as the reaction time of the pedestrians. By decreasing tau, the acceleration and driving force increases. In general, a low tau value implies a high acceleration [40]. Generally the pedestrians are more influenced by events and objects in their fields of view facing them than by events and objects behind them. The lambda (\(\lambda\)) parameter is used to adjust how the strength of other people and objects would affect the pawn. A greater value implies that the forces of other people behind the pedestrian have less influence on the pedestrian than the strength of other people in front of the pedestrian. The A_soc_isotropic and B_soc_isotropic parameters are related to the repulsive force between two pedestrians and govern the direction-dependent force between pedestrians. Asoc Mean and Bsoc Mean represent the strength and are linked to the interval speed with regard to the social force between two pedestrians. These parameters in terms of mean value together with the parameter VD influence the other of the two forces that form the repulsive force. When VD is greater than zero, it depends on the relative speed between walkers. By increasing VD, opposing pedestrians will evade earlier when passing or meeting the parameter \"noise\" is used to model randomness in Viswalk, which refers to the random force that is added to the calculated social force if the actual walking speed of pedestrians for a certain time is still lower than the desired speed. The random force term is added to the force after all other forces have been calculated only if a pedestrian is slower than his or her desired speed for a certain time). The \"react_to_n parameter\" is used to adjust the number of other people (n) in the nearest surrounding environment that affect a particular pawn, e.g., how many people should be included in the calculations of the total social force. In this case, the values between 0.0-0.1 and higher values can be used to provide more organized queues. Another parameter that influences the actions is titled PrefLato. It defines if the pedestrian prefers to pass the other people on the right side or on the left side. If the pedestrian prefers the right or left side, the parameter will be set to \(-1\) or \(1\) instead it will have a value of \(0\) for uncontrolled response. Table 6 shows the Viswalk behavior parameters linked to the Helbing model considering the following settings:  
* \"default\" setting used in the 2 nd scenario;
* \"normal\" setting, assigned to the 1 st-3 rd-5 th-6 th scenarios respectively;
* \"evacuation\" setting applied in the 4 th scenario. A sensitivity analysis was performed in order to investigate the simulated walking speed and also to set some parameters of the social force model. The sensitivity analysis primarily aims to improve the decision-making process, especially through an evaluation of the robustness of the decision taken. It also highlights the factors whose value is worthwhile better to estimate, and those that are appropriate to keep under strict control in the study phase.