作者:Li, WH (Li, Wenhang)[ 1,2 ] ; Li, Y (Li, Yi)[ 3 ] ; Yu, P (Yu, Ping)[ 4 ] ; Gong, JH (Gong, Jianhua)[ 1,2 ] ; Shen, S (Shen, Shen)[ 1,2 ]

SIMULATION MODELLING PRACTICE AND THEORY

卷: 60  页: 108-121

DOI: 10.1016/j.simpat.2015.09.011

出版年: JAN 2016

摘要

In emergency evacuations, not all pedestrians know the destination or the routes to the destination, especially when the route is complex. Many pedestrians follow a leader or leaders during an evacuation. A Trace Model was proposed to simulate such tracing processes, including (1) a Dynamic Douglas-Peucker algorithm to extract global key nodes from dynamically partial routes, (2) a key node complementation rule to address the issue in which the Dynamic Douglas-Peucker algorithm does not work for an extended time when the route is straight and long, and (3) a modification to a follower's impatience factor, which is associated with the distance from the leader. The tracing process of pupils following their teachers in a primary school during an evacuation was simulated. The virtual process was shown to be reasonable both in the indoor classroom and on the outdoor campus along complex routes. The statistical data obtained in the simulation were also studied. The results show that the Trace Model can extract relatively global key nodes from dynamically partial routes that are very similar to the results obtained by the classical Douglas-Peucker algorithm based on whole routes, and the data redundancy is effectively reduced. The results also show that the Trace Model is adaptive to the motions between followers and leaders, which demonstrates that the Trace Model is applicable for the tracing process in complex routes and is an improvement on the classical Douglas-Peucker algorithm and the social force model. (C) 2015 Elsevier B.V. All rights reserved.

通讯作者地址: Gong, JH (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[ 2 ] Zhejiang & CAS Applicat Ctr Geoinformat, Hangzhou, Zhejiang, Peoples R China

[ 3 ] Zhoukou Normal Univ, Key Lab Plant Genet & Mol Breeding, Zhoukou, Henan, Peoples R China

[ 4 ] Xinxiang Univ, Sch Management, Xinxiang, Henan, Peoples R China