Emergency Evacuation of Passengers With Collective Behaviors for the Ferry Station

It has been accepted that reliability analysis is a fundamental tool for evaluating the ferry station security of passenger emergency service. The ferry passengers emergency effective management measures, by improving the security significance of the ferry station. In this paper, the research emergency strategies for the ferry passengers emergency is organized in a LIFO (Last In First Out) strategy combining the collective behaviors. Secondly, the cellular automaton model to describe the dynamic characteristics of the ferry passengers during the emergency evacuation of ferry station. Numerical evaluation results indicate that the proposed in a LIFO (Last In First Out) strategy combining the collective behaviors in the following aspects:(i) the evacuation of bottleneck are sensitive to evacuation strategy, e.g., passengers luggage distribution; (ii) evacuation time changes with the ferry passengers' evacuation strategy; (iii) passengers' satisfaction is enhanced since passenger waiting time decreasing and the good guidelines.