民用飞机客舱应急撤离仿真算法研究

在飞机应急撤离的仿真模拟中,国内多采用元胞自动机模型模拟疏散的人群,该模型计算较快,但把 疏散者视为同样的粒子,忽略了个体差异,因此与实际撤离情况存在差异。采用智能体模型,建立个人的行为 规则;采用适合飞机应急撤离的 A* 算法选择估值函数,建立人物模型,针对波音737灢700飞机客舱进行应急撤 离过程的仿真模拟,并与前人实验结果和权威软件airEXODUS仿真结果进行验证对比。结果表明:本文算法 的仿真结果与实验结果接近,更接近真实疏散情况。

Research on Simulation method of Civil Aircraft Cabin Evacuation

In the simulation of emergency evacuation of aircraft, the cellular automaton model is mostly used to simulate evacuated people. This model is faster in calculation but regards the evacuees as the same particles, ignoring individual differences, so there is a difference from the actual evacuation situation . In this paper, the agent model is used to establish personal behavior rules, combined with the A* pathfinding algorithm, a valuation function in the A* algorithm suitable for aircraft emergency evacuation is proposed, and a character model is established. Finally, the simulation of the emergency evacuation process of the cabin of a certain type of Boeing 737-700 aircraft was carried out, and compared with the previous experimental results and the authoritative simulation software airEXODUS. The simulation results were close to the real experimental results. Therefore, an agent-based algorithm suitable for passenger cabin emergency escape simulation is proposed. Compared with the cellular automaton model used by traditional algorithms, this algorithm is closer to the real evacuation situation.