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When is Selfish Routing Bad? The Price of Anarchy in Light and Heavy Traffic
Author(s) -
Riccardo Colini-Baldeschi,
Roberto Cominetti,
Panayotis Mertikopoulos,
Marco Scarsini
Publication year - 2020
Publication title -
operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.797
H-Index - 140
eISSN - 1526-5463
pISSN - 0030-364X
DOI - 10.1287/opre.2019.1894
Subject(s) - price of anarchy , economics , routing (electronic design automation) , microeconomics , mathematical economics , computer science , heavy traffic , operations research , business , mathematics , computer network , monetary economics , transport engineering , price of stability , engineering , monetary policy
This paper examines the behavior of the price of anarchy as a function of the traac innow in nonatomic congestion games with multiple origin-destination (O/D) pairs. Empirical studies in real-world networks show that the price of anarchy is close to 1 in both light and heavy traac, thus raising the question: can these observations be justiied theoretically? We rst show that this is not always the case: the price of anarchy may remain a positive distance away from 1 for all values of the traac innow, even in simple three-link networks with a single O/D pair and smooth, convex costs. On the other hand, for a large class of cost functions (including all polynomials), the price of anarchy does converge to 1 in both heavy and light traac, irrespective of the network topology and the number of O/D pairs in the network. We also examine the rate of convergence of the price of anarchy, and we show that it follows a power law whose degree can be computed explicitly when the networku0027s cost functions are polynomials.

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