@inproceedings{c48b2a22247748ee89d3dbd5ce537fcf,
title = "Urban Lighting Infrastructure Analysis Using Topology Density Maps",
abstract = "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 Alesund, Norway.",
keywords = "Digital Twin, lighting infrastructure, spatiotemporal data, topology density map, urban data visualization",
author = "Zhicheng Hu and L{\'o}pez-Alfaro, {Claudia V.} and {da Silva Torres}, Ricardo",
year = "2024",
month = jun,
language = "English",
isbn = "9783937436845",
series = "Proceedings - European Council for Modelling and Simulation, ECMS",
publisher = "European Council for Modelling and Simulation (ECMS)",
pages = "225--233",
editor = "Daniel Grzonka and Natalia Rylko and Grazyna Suchacka and Vladimir Mityushev",
booktitle = "Proceedings of the 38th ECMS International Conference on Modelling and Simulation ECMS 2024",
address = "Italy",
note = "38th ECMS International Conference on Modelling and Simulation, ECMS 2024 ; Conference date: 04-06-2024 Through 07-06-2024",
}