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Short Paper
A Personalised Pedestrian Navigation System (Short Paper)

Authors: Urmi Shah and Jia Wang

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)


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.

Cite as

Urmi Shah and Jia Wang. A Personalised Pedestrian Navigation System (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 67:1-67:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@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-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.67},
  URN =		{urn:nbn:de:0030-drops-189628},
  doi =		{10.4230/LIPIcs.GIScience.2023.67},
  annote =	{Keywords: Pedestrian, Navigation, Walking, Preference, Graph}
}
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