Cellular Automata Simulation of Dynamic Flow of Pedestrian in a Railway Station

车站内行人动态流动的模拟日本名古屋真实存在的火车站内行人动态流动的模拟器。通过对实际人流数据和人流动态模拟器的数据进行对比分析，证实两者相差较小，因此人流模拟器能够很好地模拟出真实的人流动态。该人流模拟器可用于评价车站人流控制方法，为提高站内人流的服务质量和制定紧急情况下的疏散预案做出贡献。在各种情况下进行了疏散模拟，确保出现了直观合理的疏散流。我们还在模拟器中安装了烟雾效果，并成功地再现了烟雾中行人的疏散流。利用模拟器的模型和算法，可以再现多层建筑中的行人疏散流，并可以检验疏散计划。初等元胞自动机的混沌和分形性研究表明，Wolfram I类的基本元胞自动机规则40和168具有混沌特性和不同的Lyapunov指数。根据这些结果，Wolfram的分类被认为是不充分的，对于复杂的动力学现象，在I类中可能存在非常简单的元胞自动机

Simulation of Dynamic Flow of Pedestrain in a Railway StationA simulator for the dynamical flow of pedestrain in a railway station which is really exists in Nagoya, Japan. Comparing the real data and the data form the simulator for the dynamic flow of pedestrain, it has been confirmend that the difference between them is small and then the simulator can mostly emerge the real dynamic pedestrain flow.The simulator may be used for evaluating the methods controlling the flow of pedestrain in the station and then contribute to improving the quality of services for the pedestrain in the station and making evacuation plan in an emergency arises.Simulation of Dynamic Flow of Pedestrain Man Emergency AriseWe have constructed a simulator in which you can freely install obstacles, evacuaton sign bords, exits gates, evacuation guides. Evacuation simulations have been performed in a various kinds of situation, and we make it sure that intuitively reasonable evacuation flows are emerged. We have also installed effects of smoke into the simulator and successfully restage the evacuation flow of pedestrian in smoke.Using the model and algorithm of the simulator, it is possible to restage evacuation flow of pedestrian in multistoried buildings and examine evacuation plans.Chaos and Fractal Properties fo Elementary Cellular AutomataIt has been shown that the elementary cellular automata rule 40 and 168 in Wolfram class I have chaotic properties and a diverse values of Lyapunov exponent. From these results, Wolfram's classification is suggested to be insufficinet and there are possibly very simple cellular automata in the class I for complex dynamical phenomena