首页  科学研究  学术论文  2012年
 
Fang ZM, Song WG, Liu X, Lv W, Ma J, Xiao X (2012b) Physica a-Statistical Mechanics And Its Applications 391(1-2), 307-316.
文章来源:SKLFS    作者:SKLFS    发布时间:2013-09-21
Fang ZM, Song WG, Liu X, Lv W, Ma J, Xiao X (2012b) A continuous distance model (CDM) for the single-file pedestrian movement considering step frequency and length. Physica a-Statistical Mechanics And Its Applications 391(1-2), 307-316. [In English]
Web link: http://dx.doi.org/10.1016/j.physa.2011.08.009
Keywords: ontinuous distance; Experiment; Single file; Pedestrian behavior; Evacuation model; cellular-automaton; counter flow; evacuation; simulation; dynamics; behavior; hall
Abstract: A good evacuation model should be good to predict actual macroscopic and microscopic characteristics of pedestrian movement. In order to explore pedestrian movement behavior, we conducted controlled experiments of the single-file pedestrian movement, extracted the motion data by using a mean-shift digital image processing algorithm and analyzed the movement characteristics of pedestrians. It is found that both the pedestrian step length and frequency decreases with the increasing global pedestrian density. Furthermore, there is linear relationship between the step frequency and the distance headway of a pedestrian. Based on the characteristics observed from our experiments, we built a continuous distance model (CDM) for the single-file pedestrian movement. Two new insights were taken into account in the movement algorithm. The first one is that, the continuous step length is adopted to avoid unreasonable results caused by the simplification of the step length in traditional discrete models. The second one is that the dependency between the transition probability and the distance headway is introduced for the reason that the transition probability is correlated with the actual step frequency. Simulation results indicated that there is a close agreement on the flow-density and velocity-density relations between the experiments and modeling. Moreover, it is found that the CDM model is capable of reproducing microscopic features for the scenario with high density. (C) 2011 Elsevier B.V. All rights reserved.
 
 
相关链接
Fang ZM, Song WG, Liu X, Lv W, Ma J, Xiao X (2012b) Physica a-Statistical Mechanics And Its Applications 391(1-2), 307-316.
联系我们
安徽省合肥市金寨路96号
中国科学技术大学
火灾安全全国重点实验室
邮政编码:230026
   
Tel:(+86)551 63601651
Fax:(+86)551 63601669
E-mail:sklfs@ustc.edu.cn
Copyright © 1990-2011 State Key Laboratory of Fire Science, University of Science and Technology of China
火灾科学国家重点实验室 版权所有 皖ICP备:002106505 号