Detail publikace

Social Distancing as p-Dispersion Problem

KŮDELA, J.

Originální název

Social Distancing as p-Dispersion Problem

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The spread of COVID-19 and similar viruses poses new challenges for our society. There is a strong incentive towards safety measures that help to mitigate the outbreaks. Many countries have imposed social distancing measures that require a minimum distance between people in given places, such as schools, restaurants, shops, etc. This in turn creates complications for these places, as their function is to serve as many people as they were originally designed for. In this paper, we pose the problem of using the available space in a given place, such that the social distancing measures are satisfied, as a p-dispersion problem. We use recent algorithmic advancements, that were developed for the p-dispersion problem, and combine them with discretization schemes to find computationally attainable solutions to the p-dispersion problem and investigate the trade-off between the level of discretization and computational efforts on one side, and the value of the optimal solution on the other.

Klíčová slova

social distancing; p-dispersion problem; decremental clustering; COVID-19

Autoři

KŮDELA, J.

Vydáno

14. 8. 2020

Nakladatel

IEEE

ISSN

2169-3536

Periodikum

IEEE Access

Ročník

8

Číslo

1

Stát

Spojené státy americké

Strany od

149402

Strany do

149411

Strany počet

10

URL

https://ieeexplore.ieee.org/document/9167199

Plný text v Digitální knihovně

http://hdl.handle.net/11012/196567

BibTex

@article{BUT164727,
  author="Jakub {Kůdela}",
  title="Social Distancing as p-Dispersion Problem",
  journal="IEEE Access",
  year="2020",
  volume="8",
  number="1",
  pages="149402--149411",
  doi="10.1109/ACCESS.2020.3016724",
  issn="2169-3536",
  url="https://ieeexplore.ieee.org/document/9167199"
}