Results 21 to 30 of about 621,141 (286)

Types of tourists and tourism practices during the Olympic Games.

open access: yesVia@, 2022
The Olympic and Paralympic Games raise many expectations for tourism dynamism in host cities. However, the scientific literature shows that there is not always an expansion of tourism due to a possible crowding out effect of tourists: the anticipated ...
Marie Delaplace, Alexandra Schaffar
doaj   +1 more source

Avoiding Unintended Consequences: How Incentives Aid Information Provisioning in Bayesian Congestion Games [PDF]

open access: yesIEEE Conference on Decision and Control, 2022
When users lack specific knowledge of various system parameters, their uncertainty may lead them to make undesirable deviations in their decision making.
Bryce L. Ferguson   +2 more
semanticscholar   +1 more source

Congestion games with mixed objectives [PDF]

open access: yesJournal of Combinatorial Optimization, 2016
We study a new class of games which generalizes congestion games and its bottleneck variant. We introduce congestion games with mixed objectives to model network scenarios in which players seek to optimize for latency and bandwidths alike. We characterize the existence of pure Nash equilibria (PNE) and the convergence of improvement dynamics. For games
Matthias Feldotto   +2 more
openaire   +5 more sources

Differentiable Bilevel Programming for Stackelberg Congestion Games [PDF]

open access: yesarXiv.org, 2022
In a Stackelberg congestion game (SCG), a leader aims to maximize their own gain by anticipating and manipulating the equilibrium state at which the followers settle by playing a congestion game. Often formulated as bilevel programs, large-scale SCGs are
Jiayang Li   +5 more
semanticscholar   +1 more source

When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2022
In congestion games, users make myopic routing decisions to jam each other, and the social planner with the full information designs mechanisms on information or payment side to regulate. However, it is difficult to obtain time-varying traffic conditions,
Hongbo Li, Lingjie Duan
semanticscholar   +1 more source

Congestion games with variable demands [PDF]

open access: yesProceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge, 2011
We initiate the study of congestion games with variable demands in which the players strategically choose both a nonnegative demand and a subset of resources. The players’ incentives to use higher demands are stimulated by nondecreasing and concave utility functions. The payoff for a player is defined as the difference between the utility of the demand
Harks, Tobias, Klimm, Max
openaire   +6 more sources

In Congestion Games, Taxes Achieve Optimal Approximation [PDF]

open access: yesACM Conference on Economics and Computation, 2021
We consider the problem of minimizing social cost in atomic congestion games and show, perhaps surprisingly, that efficiently computed taxation mechanisms yield the same performance achievable by the best polynomial time algorithm, even when the latter ...
Dario Paccagnan, Martin Gairing
semanticscholar   +1 more source

Congestion Games with Complementarities [PDF]

open access: yes, 2017
We study a model of selfish resource allocation that seeks to incorporate dependencies among resources as they exist in modern networked environments. Our model is inspired by utility functions with constant elasticity of substitution (CES) which is a well-studied model in economics. We consider congestion games with different aggregation functions. In
Matthias Feldotto   +2 more
openaire   +2 more sources

Fairness concern‐based coordinated vehicle route guidance using an asymmetrical congestion game

open access: yesIET Intelligent Transport Systems, 2022
In this paper, an asymmetrical congestion game is used to build a fairness concern‐based coordinated route guidance model for alleviating traffic congestion.
Le Zhang   +3 more
doaj   +1 more source

Multi-agent reinforcement learning for traffic congestion on one-way multi-lane highways

open access: yesJournal of Information and Telecommunication, 2023
In the last decade, agent-based modelling and simulation has emerged as a potential approach to study complex systems in the real world, such as traffic congestion.
Nguyen-Tuan-Thanh Le
doaj   +1 more source

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