2026-07-20T05:05:32Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18962 2024-03-06T11:03:05Z ddc:004 open_access

A Personalised Pedestrian Navigation System (Short Paper) Shah, Urmi Wang, Jia Pedestrian Navigation Walking Preference Graph Many existing navigation systems facilitate pedestrian routing but lack the provision of personalised route alternatives tailored to individual needs. Previous research suggests that pedestrians often prioritise factors such as safety or accessibility over the shortest possible route. This paper investigates ways to enhance existing pedestrian navigation systems and improve walking experiences by providing personalised routes based on walking preferences. This is achieved by defining a set of routing preferences and implementing a modified version of Dijkstra’s algorithm. The goal of this work is to promote walking by enhancing mobility, accessibility, comfort, and safety. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Urmi Shah and Jia Wang 2023 Is Part Of LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2023.67 urn:nbn:de:0030-drops-189628 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.67 eng https://creativecommons.org/licenses/by/4.0/legalcode