RAISE the bar: Restriction of action spaces for improved social welfare and equity in traffic management


Oesterle, Michael ; Grams, Tim ; Bartelt, Christian ; Stuckenschmidt, Heiner


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URL: https://dl.acm.org/doi/10.5555/3635637.3663009
URN: urn:nbn:de:bsz:180-madoc-674351
Document Type: Conference or workshop publication
Year of publication: 2024
Book title: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems
Page range: 1492-1500
Conference title: AAMAS '23: International Conference on Autonomous Agents and Multiagent Systems
Location of the conference venue: Auckland, New Zealand
Date of the conference: 6.-10.5.2024
Publisher: Dastani, Mehdi ; Sichman, Jaime Simão ; Alechina, Natasha ; Dignum, Virginia
Place of publication: Richland, SC
Publishing house: International Foundation for Autonomous Agents and Multiagent Systems
ISBN: 979-8-4007-0486-4
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Keywords (English): equity , fairness , governance , multi-agent system , restriction , traffic management
Abstract: Restriction-based governance has recently been proposed as an alternative to reward shaping for achieving system-level goals in competitive multi-agent systems. In this work, we apply these two approaches to the domain of traffic management, specifically investigating their efficacy and fairness. Our results show that edge restrictions in congested traffic networks are superior to dynamic pricing with regard to equity (i.e., equal treatment of agents) while achieving comparable travel-time improvements. We argue that the former metric, as an adequate proxy for fairness, can be crucial for the quality and acceptance of a governance scheme, particularly when human agents are affected.




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