Digital Library

Urban lighting infrastructure analysis using topology density maps

• Zhicheng Hu
• Ricardo da Silva Torres
• Claudia Lopez-Alfaro

(2024). ECMS 2024, 38th Proceedings
Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2024
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-84-5
ISBN: 978-3-937436-83-8 (CD) Communications of the ECMS Volume 38, Issue 1, June 2024, Cracow, Poland June 4th – June 7th, 2024

https://doi.org/10.7148/2024-0225

Zhicheng hu, Ricardo da silva torres, Claudia lopez-alfaro (2024). Urban Lighting Infrastructure Analysis Using Topology Density Maps, ECMS 2024, Proceedings Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation. doi:10.7148/2024-0225

Digital twins that simulate urban environments have emerged as promising tools to support informed decision-making. In the context of lighting infrastructure analysis using such digital twins, the use of suitable information visualization methods for supporting the identification of the pros and cons of different alternatives is of paramount importance. 

This paper introduces the use of Topology Density Maps in the assessment of simulated lighting infrastructure designs. Our analysis also considers the evaluation of temporal changes of density maps, using the recently proposed Temporal Topology Density Map algorithm. We demonstrate the potential of exploring such visualization methods in the context of walkability assessment using real and simulated data associated with an urban green area in {\AA}lesund, Norway.