Ontology-based crowd simulation for normal life situations
Ontology-based crowd simulation for normal life situations
复制标题
针对正常生活情况的基于本体的人群模拟
DOI：
--
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
S. Musse
中科院分区：
文献类型：
--
作者：
Daniel Costa de Paiva;Renata Vieira;S. Musse
本文提出了城市环境模型（UEM），一种新的方法，通过该方法，大量的虚拟人可以填充城市空间，考虑正常的生活情况。该模型根据Agent在时间和空间上的不同分布，将Agent的语义包含在虚拟空间中，并考虑到正常的生命活动。例如，孩子们上学，成年人上班。休闲和购物活动也被考虑在内。还使用UEM描述了代理配置文件及其操作。除了介绍模型的细节，我们提出了它的集成到人群模拟器，其主要目标是提供现实和连贯的人口行为到城市环境。结果表明，城市环境可以填充在一个更现实的方式，通过使用UEM，摆脱正常的印象，我们在这样的系统，虚拟人在虚拟空间中的预定义的路径随机行走。
This paper presents the urban environment model (UEM), a novel approach through which a large number of virtual humans can populate a urban space by considering normal life situations. Using this model, the semantic is included in the virtual space considering normal life actions according to different agent profiles distributed in time and space. For instance, children going to the school and adults going to work at usual times. Leisure and shopping activities are also considered. Agent profiles and their actions are also described using UEM. Besides presenting the details of the model, we present its integration into a crowd simulator whose main goal is to provide realistic and coherent population behaviors into urban environments. The results show that urban environments can be populated in a more realistic way by using UEM, escaping from the normal impression we have in such kind of system that virtual people are walking in a random way by predefined paths in the virtual space.