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Accessible Urban by Modeling the Explicit Data Using Fuzzy Logic

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Published:13 November 2017Publication History

ABSTRACT

The paper explores the level of accessibility for people with specific mobility problems in an urban setting. The work is part on the polisocial Maps for Easy Path (MEP) project [1]. The project aiming at developing a set of innovative tools and solutions for the enrichment of geographical maps with information about accessibility of urban pedestrian areas for people with mobility challenges. This paper builds a FuzzyMEP predictive model that accounts for uncertainty in the real world using fuzzy logic to predict the quality and the condition of the accessibility of a path. The FuzzyMEP model has been developed for mapping two explicit data sets, namely the coordinates where a picture of an obstacle on the sidewalk has been taken and the comment. The current urban city accessibility tool uses spatial data and focuses mainly on the accessibility of a path. We present a novel MEP tool by using a fuzzy logic model for pedestrian path prediction of the condition of the accessibility of a path. In this paper, the FuzzyMEP model has been developed by applying a fuzzy logic rule which can be adapted to other contexts.

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  • Published in

    cover image ACM Other conferences
    AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies
    November 2017
    116 pages
    ISBN:9781450353106
    DOI:10.1145/3231830

    Copyright © 2017 ACM

    © 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    New York, NY, United States

    Publication History

    • Published: 13 November 2017

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