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首页> 外文期刊>Progress in Artificial Intelligence >Data Model for IndoorGML Extension to Support Indoor Navigation of People with Mobility Disabilities
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Data Model for IndoorGML Extension to Support Indoor Navigation of People with Mobility Disabilities

机译:室内延伸的数据模型,以支持移动障碍的人们室内导航

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摘要

The increasing complexity of modern buildings has challenged the mobility of people with disabilities (PWD) in the indoor environment. To help overcome this problem, this paper proposes a data model that can be easily applied to indoor spatial information services for people with disabilities. In the proposed model, features are defined based on relevant regulations that stipulate significant mobility factors for people with disabilities. To validate the model's capability to describe the indoor spaces in terms that are relevant to people with mobility disabilities, the model was used to generate data in a path planning application, considering two different cases in a shopping mall. The application confirmed that routes for people with mobility disabilities are significantly different from those of ordinary pedestrians, in a way that reflects features and attributes defined in the proposed data model. The latter can be inserted as an IndoorGML extension, and is thus expected to facilitate relevant data generation for the design of various services for people with disabilities.
机译:现代建筑的复杂性越来越多地挑战了残疾人(PWD)在室内环境中的流动性。为了帮助克服这个问题,本文提出了一种数据模型,可以轻松应用于残疾人的室内空间信息服务。在拟议的模型中,根据相关规定来定义特征,这些规定规定了残疾人患者的显着移动因素。为了验证模型的能力,以描述与具有移动障碍的人员相关的内容空间,该模型用于在路径规划应用中生成数据,考虑到购物中心的两个不同案例。该申请确认,具有移动性残疾人的路线与普通行人的途径有显着不同,以反映所提出的数据模型中定义的特征和属性。后者可以插入室内延伸,因此预期有助于为残疾人设计各种服务的相关数据生成。

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