Yes / In the wake of the COVID-19 pandemic, social distancing has become an essential element of our daily lives. As a result, the development of technological solutions for the design and re-design of physical spaces with the necessary physical distancing measures is an important problem that must be addressed. In this paper, we show how automatic design optimisation can be used to simulate the layout of physical spaces subject to a given social distancing requirement. We use a well known mathematical technique based on the circle packing to address this challenge. Thus, given the dimensions and the necessary constraints on the physical space, we formulate the design as a solution to a constrained nonlinear optimisation problem. We then solve the optimisation problem to arrive at a number of feasible design solutions from which the user can pick the most desirable option. By way of examples, in this paper, we show how the proposed model can be practically applied. / University of Bradford’s COVID-19 Response Fund, the Spanish Ministry of Science, Innovation, and Universities (Computer Science National Program) under grant #TIN2017-89275-R of the Agencia Estatal de Investigacion and European Funds (AEI/FEDER, UE)
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/18919 |
| Date | 25 March 2022 |
| Creators | Ugail, Hassan, Aggarwal, R., Iglesias, A., Suarez, P., Maqsood, M., Aadil, F., Campuzano, A., Gleghorn, S., Mehmood, Irfan, Taif, Khasrouf |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Conference paper, Published version |
| Rights | © IEEE 2021. This article is free to access and download, along with rights for full text and data mining, re-use and ana, Unspecified |
Page generated in 0.0019 seconds