License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.67
URN: urn:nbn:de:0030-drops-189628
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18962/
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Shah, Urmi ; Wang, Jia

A Personalised Pedestrian Navigation System (Short Paper)

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LIPIcs-GIScience-2023-67.pdf (3 MB)

Abstract

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.

BibTeX - Entry

@InProceedings{shah_et_al:LIPIcs.GIScience.2023.67,
  author =	{Shah, Urmi and Wang, Jia},
  title =	{{A Personalised Pedestrian Navigation System}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{67:1--67:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18962},
  URN =		{urn:nbn:de:0030-drops-189628},
  doi =		{10.4230/LIPIcs.GIScience.2023.67},
  annote =	{Keywords: Pedestrian, Navigation, Walking, Preference, Graph}
}

Keywords: Pedestrian, Navigation, Walking, Preference, Graph
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023

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