Skip to main navigation
Skip to search
Skip to main content
Tel Aviv University Home
Update Request & User Guide (TAU staff only)
Home
Experts
Research units
Research output
Prizes
Activities
Press/Media
Student theses
Search by expertise, name or affiliation
Reducing risk of infection – The COVID-19 queueing game
Yael Perlman
*
,
Uri Yechiali
*
Corresponding author for this work
School of Mathematical Sciences
Bar-Ilan University
Research output
:
Contribution to journal
›
Article
›
peer-review
19
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Reducing risk of infection – The COVID-19 queueing game'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Risk Reduction
100%
Infection Risk
100%
COVID-19
100%
Cashier
100%
Queueing Games
100%
Shopping
80%
Number of Customers
40%
Shoppers
40%
Infection Rate
20%
Waiting Cost
20%
Payers
20%
Cost-based
20%
Operating Cost
20%
Associated Costs
20%
Supermarkets
20%
Equilibrium Strategy
20%
Factorial Moments
20%
Customer Waiting Time
20%
Queue Size
20%
COVID-19 Pandemic
20%
Stackelberg Game
20%
Store Management
20%
Total Space
20%
Department Stores
20%
Computer Science
Operational Cost
100%
Department Store
100%
Infection Rate
100%
stackelberg game
100%
Engineering
Periodic Time
100%
Operational Cost
100%
Factorial Moment
100%
Equilibrium Strategy
100%
Social Sciences
Queueing
100%
COVID-19
100%
COVID 19 Epidemic
50%
Department Store
50%
Mathematics
Minimizes
100%
Periodic Time
33%
Customer Arrives
33%
Queue Size
33%
Factorial Moment
33%
Infection Rate
33%
Total Space
33%
Economics, Econometrics and Finance
Department Store
100%