初始分布非均匀的疏散行人流实验研究和数学建模
发布时间:2018-07-03 02:24
本文选题:元胞自动机 + 非均匀分布 ; 参考:《中国科学:技术科学》2017年04期
【摘要】:针对初始分布非均匀的行人流疏散问题,通过定义行人在行走过程中的方向模糊可视域,充分考虑了行人在方向可视域选择上的差异性;通过引入出口处行人密度,有效实现了建筑物内初始分布非均匀的行人流动态疏散演化过程;通过定义和标准化处理影响转移概率的因素,改进了场域元胞自动机模型,并将仿真结果与相关已知模型做了对比分析,研究结果表明,改进模型避免了对影响转移概率相关因素的权重依赖;系统疏散时间与方向模糊可视域和出口处行人分布区域大小有关;如果行人在疏散过程中拥有一个较大的视野,系统能够在出口处适中区域内通过电子屏、语音提示等方式实时提供行人密度,就能够有效提高整个系统的疏散效率.
[Abstract]:Aiming at the pedestrian flow evacuation problem with inhomogeneous initial distribution, the discrepancy of pedestrians in the direction visual domain selection is fully considered by defining the direction fuzzy horizon of pedestrians in the walking process. By introducing the pedestrian density at the exit, the dynamic evacuation evolution process of the inhomogeneous initial distribution of pedestrian flow in the building is realized effectively. The factors affecting the transfer probability are defined and standardized, and the field cellular automaton model is improved, and the simulation results are compared with the related models. The results show that the improved model avoids the weight dependence on the related factors affecting the transfer probability, the blurred horizon of the system and the pedestrians at the exit. If the pedestrian has a large field of vision in the evacuation process, the system can provide the pedestrian density in real time through the electronic screen and voice prompt in the moderate area of the exit, which can effectively improve the efficiency of the evacuation of the whole system.
【作者单位】: 兰州交通大学交通运输学院;
【基金】:教育部人文社会科学研究项目(编号:12YJC630100)资助
【分类号】:U491.226
【参考文献】
相关期刊论文 前6条
1 LIU KeXin;WU LuLu;Lü JinHu;ZHU HengHui;;Finite-time adaptive consensus of a class of multi-agent systems[J];Science China(Technological Sciences);2016年01期
2 禹尔东;吴正;郭明e,
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