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    An Optimisation Model for Designing Social Distancing Enhanced Physical Spaces

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    hassan_et_al_2020.pdf (229.3Kb)
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    Publication date
    2020-11
    Author
    Ugail, Hassan
    Aggarwal, R.
    Iglesias, A.
    Suarez, P.
    Maqsood, M.
    Aadil, F.
    Campuzano, A.
    Gleghorn, S.
    Mehmood, Irfan
    Taif, Khasrouf
    Keyword
    Automatic optimal design
    Social distancing measures
    Computer aided design
    Physical spaces
    Covid-19
    Pandemic
    Rights
    © IEEE 2021. This article is free to access and download, along with rights for full text and data mining, re-use and ana
    Peer-Reviewed
    Yes
    Open Access status
    openAccess
    
    Metadata
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    Abstract
    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.
    URI
    http://hdl.handle.net/10454/18919
    Version
    Published version
    Citation
    Ugail H, Aggarwal R, Iglesias A et al (2020) An Optimisation Model for Designing Social Distancing Enhanced Physical Spaces 2020 International Conference on Internet of Things and Intelligent Applications, ITIA 2020. 27-29 Nov 2020. Zhenjiang, China.
    Link to publisher’s version
    https://doi.org/10.1109/ITIA50152.2020.9312372
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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