Accessible urban by modeling the explicit data using fuzzy logic
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
ACM
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.
Description
Full-text Article. Also available at https://doi.org/10.1007/s10209-021-00843-x
Keywords
Architectural barrier, Indoor navigation, Outdoor navigation, Universal design, Urban accessibility, Wayfinding system
Citation
Sinkonde, D., Mselle, L., Shidende, N., Comai, S., & Matteucci, M. (2017, November). Accessible urban by modeling the explicit data using fuzzy logic. In Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies (pp. 1-7).