Modeling Pedestrian Dynamics with Adaptive Cellular Automata

被引：5
|
作者：
Padovani, Djalma [1 ]
Jose Neto, Joao [1 ]
Massa Cereda, Paulo Roberto [1 ]
机构：
[1] Univ Sao Paulo, Sch Engn, Av Prof Luciano Gualberto 380, BR-05508010 Sao Paulo, SP, Brazil
来源：
9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS | 2018年 / 130卷
关键词：
Self-Adaptive; Reconfiguration; Cellular Automata; Pedestrian Dynamics;
D O I：
10.1016/j.procs.2018.04.165
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work presents a proposal for modeling pedestrian dynamics by means of Adaptive Cellular Automata, a dynamically adjustable approach that uses an underlying cellular automata and a set of adaptive functions intended to reconfigure the automata internal structure and behavior according to observable events and rules, making them adaptable to environment changes. (C) 2018 The Authors. Published by Elsevier B. V.
引用
收藏
页码：1120 / 1127
页数：8
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