疏散是应对突发事件的重要手段，合理组织与高效管控对人员安全影响重大。客轮上亲友等小团体众多，结伴移动等行为会显著降低人群整体疏散效率，但目前决定小团体时空分布的疏散决策机制仍不明确。鉴于此，考虑船体倾斜等特殊状态对人员的行走限制以及船员的引导作用，本项目开展小团体人员行走实验和人群疏散行为实验，分析并建立小团体协同运动规则以及疏散诱导影响下独立个体、小团体的决策规则，结合船体特殊状态下人员的运动特征，构建基于主体的客轮人群疏散模型，考虑不同人群构成、疏散设施可用性、疏散诱导等条件设定若干典型客轮疏散场景，进行动力学分析并总结不同场景下人群疏散效率与关键设施通行流量的变化规律，提出优化人群流动的方法，建立基于启发式算法与行人疏散仿真模型的双层优化框架，获取针对典型客轮场景的分区疏散引导优化策略。项目成果对于深入理解客轮疏散动力学演化规律有重要意义，可以为客轮应急管理工作提供科学依据。

Evacuation is an important mean to deal with emergencies, of which organization and management is of vital importance to crowd safety. There are many small groups such as relatives and friends on the passenger ship, their movement and other behaviors have a significant impact on the overall evacuation of the crowd. However, the evacuation decision-making mechanism that determines the temporal and spatial distribution of small groups is still unclear so far. In view of this, considering the limited moving capacity of passengers on ships of special status (e.g., pitching and rolling) and evacuation guidance of ship crew, we will carry out small group walking experiment and crowd evacuation behavior experiment to explore cooperative moving rules of small groups as well as decision-making rules of the individual and small group with the influence of evacuation guidance. Based on the above pedestrian behavior rules and individual moving characteristics on ships of special status, an Agent-based crowd evacuation model will be established. By changing the composition of crowds, facilities availability, evacuation guiding modes and other conditions, typical ship scenarios will be established, and the change rule of crowd flow efficiency and traffic flow of key facilities under different scenarios will be analyzed. Then a number of methods to optimize crowd flow can be proposed. Moreover, we will construct a bi-level optimization framework based on heuristic algorithm and pedestrian evacuation simulation model, by which the optimized zonal evacuation guidance strategies for varied passenger ship scenarios will be calculated and obtained. The research results of this project are of great significance to understand the dynamics evolution law of passenger ship evacuation, which can provide scientific basis for the emergency management of cruise ship evacuation.