"Today me, tomorrow thee"
Loosely inspired by karma in Indian tradition, we have worked towards formalizing the notion of "give-and-take" in automated resource allocation systems. One day you incur a delay in traffic to let someone with higher urgency arrive on time, for that you gain karma. The next day it becomes your turn to take advantage of fast service , so you spend karma. Such a system gives fair access to shared resources meanwhile serving those who are most in need.
Technical Paper - Vision Paper - Behavioral Study - PhD Thesis - Blog Post
CARMA: Fair and Efficient Bottleneck Congestion Management via Non-tradable Karma Credits
Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, John Lygeros, Emilio Frazzoli, Florian Dörfler
Transportation Science, 2024
10.1287/TRSC.2023.0323 - Slides
To Travel Quickly or to Park Conveniently: Coupled Resource Allocations with Multi-Karma Economies
Ezzat Elokda, Andrea Censi, Saverio Bolognani, Florian Dörfler, Emilio Frazzoli
CPHS, 2024. Awarded: IFAC CPHS Young Author Award
10.1016/J.IFACOL.2025.01.151 - Slides
A Dynamic Population Game Model of Non-Monetary Bottleneck Congestion Management Under Elastic Demand Using Karma
Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, Saverio Bolognani, Emilio Frazzoli
CDC, 2023
First Paper: Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games
Andrea Censi, Saverio Bolognani, Julian G. Zilly, Shima S. Mousavi, Emilio Frazzoli
IEEE Intelligent Transportation Systems Conference (ITSC), 2019