Exploring fuzzy systems descriptive potential for bikeability routing

  • This paper proposes a methodology for bicycle route classification using fuzzy logic to facilitate intuitive assessments. As cycling is an essential part of transforming the mobility sector toward sustainability, understanding what makes routes attractive to cyclists is critical. Traditional routing systems often rely on fixed and abstract measures, but this study explores whether a fuzzy inference system (FIS) can provide more qualitative and intuitive route descriptions. The approach involves calculating multiple routes through a case-study area in Augsburg, Germany, based on distinct weights: length, elevation, and pavement roughness. These routes are compared to those generated by BRouter, a reference routing service. Results demonstrate that a fuzzy-based method can yield comparable routes and improve route descriptions by offering linguistic attributes. While data inconsistencies in OpenStreetMap (OSM) present challenges, the fuzzy approach provides flexibility in routeThis paper proposes a methodology for bicycle route classification using fuzzy logic to facilitate intuitive assessments. As cycling is an essential part of transforming the mobility sector toward sustainability, understanding what makes routes attractive to cyclists is critical. Traditional routing systems often rely on fixed and abstract measures, but this study explores whether a fuzzy inference system (FIS) can provide more qualitative and intuitive route descriptions. The approach involves calculating multiple routes through a case-study area in Augsburg, Germany, based on distinct weights: length, elevation, and pavement roughness. These routes are compared to those generated by BRouter, a reference routing service. Results demonstrate that a fuzzy-based method can yield comparable routes and improve route descriptions by offering linguistic attributes. While data inconsistencies in OpenStreetMap (OSM) present challenges, the fuzzy approach provides flexibility in route interpretation. The study highlights the potential for qualitative route descriptions to complement traditional quantitative measures in bicycle navigation systems.show moreshow less

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Metadaten
Author:Pablo S. LöwGND, Jukka M. KrispORCiDGND, Andreas KelerORCiD
URN:urn:nbn:de:bvb:384-opus4-1265182
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/126518
Parent Title (English):AGILE 2025 - 28th AGILE Conference on Geographic Information Science, 10–13 June 2025, Dresden, Germany, poster track
Publisher:CERN
Place of publication:Genf
Type:Conference Proceeding
Language:English
Date of Publication (online):2025/11/28
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/12/02
Edition:Online-Ressource
DOI:https://doi.org//10.5281/zenodo.15324288
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Angewandte Geoinformatik
Dewey Decimal Classification:9 Geschichte und Geografie / 91 Geografie, Reisen / 910 Geografie, Reisen
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung