Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies 2017
DOI: 10.1145/3231830.3231844
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Accessible Urban by Modeling the Explicit Data Using Fuzzy Logic

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Cited by 2 publications
(2 citation statements)
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“…More automatic and intelligent technologies have also been explored for accessibility data collection and urban navigation. This body of work includes helping to automatically monitor and assess accessibility using smart sensing and cloud computing technologies [2], predicting the condition and the quality of urban pedestrian accessibility based on a fuzzy logic prediction model [66], and recommending the optimal route or suggesting paths based on the modeling of urban accessibility to help avoid obstacles [3,38,58,75]. While most modeling focuses purely on external physical properties, some seek and propose frameworks to assess accessibility based on an integral consideration of human capabilities and the environment [25,34].…”
Section: Urban Accessibility For Wheelchair Usersmentioning
confidence: 99%
“…More automatic and intelligent technologies have also been explored for accessibility data collection and urban navigation. This body of work includes helping to automatically monitor and assess accessibility using smart sensing and cloud computing technologies [2], predicting the condition and the quality of urban pedestrian accessibility based on a fuzzy logic prediction model [66], and recommending the optimal route or suggesting paths based on the modeling of urban accessibility to help avoid obstacles [3,38,58,75]. While most modeling focuses purely on external physical properties, some seek and propose frameworks to assess accessibility based on an integral consideration of human capabilities and the environment [25,34].…”
Section: Urban Accessibility For Wheelchair Usersmentioning
confidence: 99%
“…The possibility to engage users in contributing to the dataset is also described in [85], where people can register and upload categorized information about the services offered in the metropolitan areas. In [129], data collected by citizens are combined with comments and pictures through fuzzy logic. Ruta et al [122] make use of the crowdsourcing information about indoor/outdoor accessibility of POIs, not only to provide mobility impaired users with personalized paths, but also to visualize such information by means of AR.…”
Section: Crowdsourcingmentioning
confidence: 99%