research-article

Accessible Urban by Modeling the Explicit Data Using Fuzzy Logic

Authors:

Daniel Sinkonde,

Leonard Mselle,

Matteo MatteucciAuthors Info & Claims

AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

Article No.: 14, Pages 1 - 7

https://doi.org/10.1145/3231830.3231844

Published: 13 November 2017 Publication 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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Cited By

Wu YDing XDai XZhang PLu TGu N(2022)Alignment Work for Urban Accessibility: A Study of How Wheelchair Users Travel in Urban SpacesProceedings of the ACM on Human-Computer Interaction10.1145/35551656:CSCW2(1-22)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555165
Prandi CBarricelli BMirri SFogli D(2021)Accessible wayfinding and navigation: a systematic mapping studyUniversal Access in the Information Society10.1007/s10209-021-00843-xOnline publication date: 8-Sep-2021
https://doi.org/10.1007/s10209-021-00843-x

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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

Editor:
Hani Hamdan

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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CNRS: Centre National De La Rechercue Scientifique

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Association for Computing Machinery

New York, NY, United States

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Published: 13 November 2017

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AWICT 2017: Second International Conference on Advanced Wireless Information, Data, and Communication Technologies

November 13 - 14, 2017

Paris, France

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Cited By

Wu YDing XDai XZhang PLu TGu N(2022)Alignment Work for Urban Accessibility: A Study of How Wheelchair Users Travel in Urban SpacesProceedings of the ACM on Human-Computer Interaction10.1145/35551656:CSCW2(1-22)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555165
Prandi CBarricelli BMirri SFogli D(2021)Accessible wayfinding and navigation: a systematic mapping studyUniversal Access in the Information Society10.1007/s10209-021-00843-xOnline publication date: 8-Sep-2021
https://doi.org/10.1007/s10209-021-00843-x

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