Efficient Dynamic Floor Field Methods for Microscopic Pedestrian Crowd Simulations

作     者：Dirk Hartmann Peter Hasel 

作者机构：Siemens AGCorporate Technology80200 MunichGermany 

出 版 物：《Communications in Computational Physics》 (计算物理通讯（英文）)

年 卷 期：2014年第16卷第6期

页      面：264-286页

核心收录：

学科分类：08[工学] 082303[工学-交通运输规划与管理] 0704[理学-天文学] 082302[工学-交通信息工程及控制] 0702[理学-物理学] 0823[工学-交通运输工程] 

基　　金：German Federal Ministry of Education and Research within the project REPKA - Regional Evacuation: Planning  Control and Adaptation 

主　　题：Pedestrian dynamics cellular automata adaptive grids floor field methods fast marching method navigation. 

摘      要：Floor field methods are one of the most popular medium-scale navigation concepts in microscopic pedestrian *** introduced dynamic floor field methods have significantly increased the realism of such simulations,*** of spatio-temporal patterns of pedestrian densities in simulations with real world *** methods update floor fields continuously taking other pedestrians into *** implies that computational times are mainly determined by the calculation of floor *** this work,we propose a new computational approach for the construction of dynamic floor *** approach is based on the one hand on adaptive grid concepts and on the other hand on a directed calculation of floor fields,*** calculation is restricted to the domain of *** both techniques the computational complexity can be reduced by a factor of 10 as demonstrated by several realistic *** on-line simulations,a requirement of many applications,are possible for moderate realistic scenarios.