## 5 Results
### Platform Simulation with Generalized Failure  
The MaritimeEXODUS simulator is not applicable to this generalized failure case. Once the MaritimeEXODUS was discarded, 68 simulations of the abandonment process were run on the SIMONE simulator addressing the starting situations of 3 TW and GQ. The resulting evacuation times are plotted in Figure 10.  
The evacuation times achieved for the GQ starting situation (see Figure 10) show that as it is, a regulated protocol, rehearsed by the embarked population, a significant alteration of the escape route network can be observed (Figure 10). This causes SIMONE to show a very wide range of evacuation times (120 s). The extensive alteration of the network of escape routes results in a very short median evacuation time (387 s). The generalized breakdown is configured as a serious restriction on the dynamic graph emulating the simulation scenario. Thus, the elimination of the most complex blockages occurring at certain points in the scenario (outdoor accesses) in the previous simulated cases is confirmed. In this case, only the management of massive congestion is identified at the accesses of the ship's superstructure.  
Unlike MaritimeEXODUS, SIMONE does not implement agents competing for available resources, based on the assumption that training and military instruction effectively reduce panic in emergency situations. We should remark that the GQ assumption refers to an ideal situation in which the members of the embarked population are located at predefined positions. Although under this assumption their route network is greatly affected, most of the embarked population runs through fault-free zones. This influences the agility of the evacuation (time) whereas the rest of the population experiences blockages, causing the evacuation process to lengthen to apparent maximum times (see Figure 11), with the simulation of a minor failure (see Figure 8).  
Figure 10: Box plots, abandonment times (SIMONE) for the 3 TW and GQ starting situations.  
Examining the evacuation times obtained for the 3 TW starting situation, the following additional comments can be made. The delay estimated at the beginning of the process due to reaction times and preparation for evacuation is not included in the simulations. Because most of the population depart from specific areas, crowding at the accesses from the decks of the superstructure is unavoidable and disproportionate after disabling the port accesses as a result of the configured fatal failure. This inevitably increases evacuation times. The optimal management implemented evenly distributes the agents, based on the estimated evacuation costs, among the enabled accesses. Thus, it seeks the continuous evacuation of agents throughout the process (see Figure 12), minimizing the time spent by each agent and the time taken by the last agent leaving the platform. In this situation, the network of routes is greatly affected, although most of the embarked population move through areas free of breakdowns. This influences the agility of the evacuation, with increasing median evacuation times (419 s (see Figure 10)). The rest of the population is delayed, causing evacuation process to lengthen to apparent maximum times (see Figure 12) with the simulation of a minor fault (see Figure 8).  
Figure 11: Dispersion diagram, time per number of evacuees (GQ situation, SIMONE).  
Figure 12: Dispersion diagram, abandonment time per number of evacuees (3 TW, SIMONE).  
According to the evacuation times provided by the SIMONE simulator (see Figure 10) in the study of the GQ and 3 TW cases, the optimal management implemented appears at first to be a disadvantage, with much longer evacuation times provided by SIMONE in the event of a minor fault (see Figure 7). This would result in a notable decrease in survival probabilities. However, given the circumstances and the magnitude of the damage suffered, SIMONE is capable of presenting a plausible evacuation solution for the survival of the crew within the formulated times.