Study On Passenger Evacuation Model Considering Human Behavior

With the increasing prosperity of globalization trade, waterage becomes more active due to the price, transport volume and other advantages. Maritime transport not only brings benefits to countries, but also brings security risks to life and property of people. With the continuing technical progress in shipbuilding, modern ship is a very complex system. When emergency occurs, evacuating passengers to muster stations and then leave the ship in danger timely is the most important issue. Therefore, the study on passenger evacuation models and simulation are of great theoretical significance and practical social value to improve our assessment of the safety of navigation, emergency evacuation scenario design and practical evacuation guidance to develop evacuation strategies. Considering human behavior in evacuation, this paper carried out basic research which provides reference and new method for further study on ship evacuation.This paper aiming at the lack of experimental data, considers the human behavior under the effect of ship roll motion. Experimental testing is used to design and implement a series walking experiment for single people under different ship rolling angles modeled as a function of wind-wave dynamics based on Marine Rescue Simulation System (MRSS) at Dalian Maritime University (DMU). By collecting and analyzing the information of walking behavior of participants, the impact of adjustment action, pause phenomenon and linear velocity on pedestrian walking speed is studied and obtained the relationship between human walking speed and the angle under the influence of ship rolling motion. And a velocity model for ship evacuation considering wave scales is built. Simulation is conducted in FDS+Evac under different wind scales and the 8th deck of Bohai Cuizhu as the simulation environment. The results is analyzed and compared to get the reference evacuation time of passengers in different wind scales and the evacuation status at different moment. The results contribute to assess and can be used for reference to the process of ship evacuation.Based on macroscopic network flow model, the spread model of fire when the scene is on fire is improved and the psychological factor-panic is considered. The objective function of path optimization is generated to maximize the evacuees in the sh- ortest possible time. The constraint is passage capacity. The dynamic programming approach is used to solve the model for a single group in a simple scenario. Finally, the path selection strategy which optimized in this paper is simulated in FDS+Evac and compared with the nearest escape exit selection. The results show that the solutions of this article can be more rapidly evacuate more people.