In order to evaluate the evacuability of large passenger ships, a new two-dimensional microscopic scattered simulation model of pedestrian dynamics known as the CAEE (cellular automata with expanded ken essentials and multi-level exits) model was set up. This was done on the basis of cellular automaton theory, combining the "floor field" model and network flow theory, considering the influence of visual field expansion on route selection and the influence of quantitative friction and repulsion force on pedestrian's speed. The effect between individuals and the effect between individuals and the ship were made clearer and more authentic by expanding the field of vision. At the same time, simulation of evacuation under an environment with multilevel exits was achieved by network flow. A comparison was made between CAEE model and actual passenger movement law in a room with one door, validating the model's correctness. Furthermore, taking a typical cabin arrangement environment as an example, a trend was recorded by the CAEE model where the evacuation time and jamming position in the cabin was forecast. The change trend of the jammed passengers'number and the maximum passengers' density was increased firstly and then decreased, and the change trend of moving passengers' number was decreased firstly then increased but decreased in the end.%为了评估预测大型船舶的人员疏散能力,在元胞自动机理论的基础之上结合“地面场”模型和网络流理论同时计及视野拓展对路线选择的影响,排斥力、摩擦力对人员运动速度的影响,建立了新的人员疏散的二维微观离散模型CAEE模型.通过与CAFE模型比较在单出口房间内的人员疏散的规律,验证了CAEE模型的正确性,再用CAEE模型模拟某个典型舱室环境下的人员疏散情况,预测了此环境下人员的疏散时间及堵塞现象发生的位置,发现拥挤人数.最大人员密度随时间的变化规律先增后减,而运动人员数量随时间的变化规律是先减后增,然后减少.
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