Tolikas, D.; Spyrou, E.D.; Kappatos, V. Passenger Routing Algorithm for COVID-19 Spread Prevention by Minimising Overcrowding. Computers2024, 13, 47.
Tolikas, D.; Spyrou, E.D.; Kappatos, V. Passenger Routing Algorithm for COVID-19 Spread Prevention by Minimising Overcrowding. Computers 2024, 13, 47.
Tolikas, D.; Spyrou, E.D.; Kappatos, V. Passenger Routing Algorithm for COVID-19 Spread Prevention by Minimising Overcrowding. Computers2024, 13, 47.
Tolikas, D.; Spyrou, E.D.; Kappatos, V. Passenger Routing Algorithm for COVID-19 Spread Prevention by Minimising Overcrowding. Computers 2024, 13, 47.
Abstract
COVID-19 has become a pandemic which resulted in measures being taken for health and safety of people. The spreading of the disease was particularly evident in indoor spaces, where people tend to get overcrowded. One such place is the airport where a plethora of passengers flow to common places, such as coffee shops, duty free shops as well as toilets and gates. Guiding the passengers to less overcrowded places within the airport may be a solution to less spreading. In this paper we suggest a passenger routing algorithm whereby the passengers are guided to less crowded places by using a weighting factor, which is minimised to accomplish the desired goal. We modeled a number of shops in an airport using the AnyLogic software and we tested the algorithm showing that the exposure time is less with routing and that the people get appropriately spread to the common spaces, thus, preventing overcrowding.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
