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Computer Science > Systems and Control

arXiv:1603.08995 (cs)
[Submitted on 29 Mar 2016]

Title:To Observe or Not to Observe: Queuing Game Framework for Urban Parking

Authors:Lillian J. Ratliff, Chase Dowling, Eric Mazumdar, Baosen Zhang
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Abstract:We model parking in urban centers as a set of parallel queues and overlay a game theoretic structure that allows us to compare the user-selected (Nash) equilibrium to the socially optimal equilibrium. We model arriving drivers as utility maximizers and consider the game in which observing the queue length is free as well as the game in which drivers must pay to observe the queue length. In both games, drivers must decide between balking and joining. We compare the Nash induced welfare to the socially optimal welfare. We find that gains to welfare do not require full information penetration---meaning, for social welfare to increase, not everyone needs to pay to observe. Through simulation, we explore a more complex scenario where drivers decide based the queueing game whether or not to enter a collection of queues over a network. We examine the occupancy-congestion relationship, an important relationship for determining the impact of parking resources on overall traffic congestion. Our simulated models use parameters informed by real-world data collected by the Seattle Department of Transportation.
Subjects: Systems and Control (eess.SY); Computer Science and Game Theory (cs.GT)
Cite as: arXiv:1603.08995 [cs.SY]
  (or arXiv:1603.08995v1 [cs.SY] for this version)
  https://doi.org/10.48550/arXiv.1603.08995

Submission history

From: Lillian Ratliff [view email]
[v1] Tue, 29 Mar 2016 23:16:56 UTC (5,095 KB)
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Lillian J. Ratliff
Chase Dowling
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Baosen Zhang
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