A Personalised Pedestrian Navigation System (Short Paper)

Authors Urmi Shah, Jia Wang



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Author Details

Urmi Shah
  • School of Computing & Mathematical Sciences, University of Greenwich, UK
  • GeoLytix, London, UK
Jia Wang
  • School of Computing & Mathematical Sciences, University of Greenwich, UK

Cite AsGet BibTex

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)
https://doi.org/10.4230/LIPIcs.GIScience.2023.67

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.

Subject Classification

ACM Subject Classification
  • Information systems → Geographic information systems
Keywords
  • Pedestrian
  • Navigation
  • Walking
  • Preference
  • Graph

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References

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