Karma Priority lanes for fair and efficient bottleneck congestion management

Ezzat Elokda, Carlo Cendese, Kenan Zhang, Andrea Censi, John Lygeros, Emilio Frazzoli

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

A popular remedy for the morning commute bottleneck congestion is to split the highway capacity into a managed lane that is kept in free-flow and a general purpose lane that is subject to congestion. A classical theoretical result is that the more capacity is allocated to the managed lane the less the resulting congestion. However, existing approaches to restrict access to the managed lane are primarily monetary, e.g., tolls, which severely limits the public willingness to accept them due to equity concerns. Following up on recent work which introduces karma as a completely non-monetary credit used to control access to a so-called Karma Priority (KP) lane, we first review the strategic problem of the commuters which is modeled as a dynamic population game. We then numerically investigate the effect of varying the KP lane capacity. The karma scheme is equitable with respect to different income classes irrespective of the capacity split, meanwhile achieving near-optimal traffic reduction. Thus, managing a larger fraction of the bottleneck could be more socially feasible under a karma scheme than a monetary scheme.

Original languageEnglish
Title of host publication2023 31st Mediterranean Conference on Control and Automation, MED 2023
PublisherIEEE
Pages458-463
Number of pages6
ISBN (Electronic)9798350315431
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event31st Mediterranean Conference on Control and Automation, MED 2023 - Limassol, Cyprus
Duration: 26 Jun 202329 Jun 2023

Conference

Conference31st Mediterranean Conference on Control and Automation, MED 2023
Country/TerritoryCyprus
CityLimassol
Period26/06/2329/06/23

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