In our research, we have developed a mechanism fusing a ship motions model with the multi-agent
crowd dynamics model in the case of evacuation under storm conditions. The integrated model
enables estimation of the evacuation time at various environmental conditions. It can be useful for ship
operators and navigators for appropriate planning of evacuation which can reduce possible human
losses. The system can be also useful during the design process helping to trace and eliminate possible
bottlenecks on the routes to the emergency exits.
The obtained test numerical results show that the proposed method consistently captures main
effects associated with passenger movements in storm conditions and can serve as basis for
developing on-board Decision Support Systems (DSS). The most popular type of such a system is a
visualized polar diagram displaying undesirable combinations of the speed and heading typically using
such criteria as the main and parametric roll resonances, slamming occurrence frequency, green water
on deck, and propeller ventilation. It will be natural to complement these diagrams with some
information related to possible evacuation in current weather conditions. As the developed system is
too slow for accelerated online evacuation simulations, the DSS should be rather based on precomputed
quantiles of distributions of local accelerations and inclinations for various ship locations
while the evacuation simulation package can help to establish some threshold values for these
quantiles above which the evacuation becomes problematic or its expected duration become
unacceptable in current circumstances.