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When users access shared resources in a selfish manner, the resulting societal cost and perceived users’ cost is often higher than what would result from a centrally coordinated optimal allocation. While several contributions in mechanism design manage to steer the aggregate users choices to the desired optimum by using monetary tolls, such approaches bear the inherent drawback of discriminating against users with a lower income. Against this backdrop, with the FISH project, we aim to design incentive schemes based on artificial currencies with the goal of achieving a system-optimal resource allocation that is also fair.
đź“Ł Featured News & Events
| Aug | 2024 | Lotte Hollander successfully defended her MSc thesis on 'Fair Incentive Mechanisms for Differentiated Services in a Public Electric Vehicle Charging Station' within the FISH project. Congratulations Lotte! Read more... |
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| Jul | 2024 | Our paper 'Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality' was accepted for presentation in the IEEE CDC 2024. Read more... |
| Mar | 2024 | We presented preliminary results at the 43nd Benelux Meeting on Systems and Control. Read more... |
| Jul | 2023 | Our paper 'Urgency-aware Routing in Single Origin-destination Itineraries through Artificial Currencies' was accepted for presentation in the IEEE CDC 2023. Read more... |
| Mar | 2023 | We presented preliminary results at the 42nd Benelux Meeting on Systems and Control. Read more... |
🧪 Featured Research
Fair Incentive Mechanisms for Differentiated Services in a Public Electric Vehicle Charging Station
A major barrier to electric vehicle (EV) adoption is the lack of affordable and accessible public chargers. This thesis proposes a fair incentive mechanism for operating a public EV charging station with access to renewable energy, prioritizing users without home-based chargers, and minimizing grid power usage.
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality
Incentive schemes utilizing artificial currencies have been explored to achieve a system-optimal resource allocation that is also fair, contrarily to state-of-the-art monetary schemes. This paper delves into the comprehensive notion of fairness by meticulously optimizing for the societal metrics of equity and equality.
Urgency-aware Routing in Single Origin-destination Itineraries through Artificial Currencies
Within mobility systems, the presence of self-interested users can lead to aggregate routing patterns that are far from the societal optimum that could be achieved by centrally controlling the user’s choices. We design an urgency-aware fair incentive mechanism through artificial currencies so that the selfish behavior of the users aligns with the societally-optimal aggregate routing for single origin-destination inteneraries.