Abstract
In this work, we introduce a novel coalition formation mechanism for ridesharing services. Specifically, we extend the current literature to integrate walking options within the trip. This allows us to effectively account for a user’s value of time when walking, which is not negligible. Additionally, we propose a cost allocation method that ensures proportionality for sharing the costs, i.e. those who walk more should pay less. We present a preliminary formal evaluation of the efficacy of our cost allocation method and discuss its desirable properties. Our study is a step towards developing smart mobility systems that recommend optimal ridesharing coalitions to users and suggest cost allocations that accounts for the marginal cost and contributions of each rider.
| Original language | English |
|---|---|
| Journal | ICLR-Workshop |
| Early online date | 29 Apr 2022 |
| Publication status | E-pub ahead of print - 29 Apr 2022 |
| Event | ICLR 2022 Workshop on Gamification and Multiagent Solutions, Co-located with ICLR - Virtual Duration: 29 Apr 2022 → 29 Apr 2022 https://openreview.net/forum?id=BcgYj9kaeq |
Keywords
- Coalition formation
- Multiagent systems
- Smart mobility
- Ridesharing
- Citizen-Centric AI Systems
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