A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 268-275.
https://doi.org/10.24963/ijcai.2021/38
Keywords
- Agent-based and Multi-agent Systems: Coordination and Cooperation
- Agent-based and Multi-agent Systems: Economic Paradigms, Auctions and Market-Based Systems
- Multidisciplinary Topics and Applications: Transportation
Abstract
Ridesharing has great potential to improve transportation efficiency while reducing congestion and pollution. To realize this potential, mechanisms are needed that allocate vehicles optimally and provide the right incentives to riders. However, many existing approaches consider restricted settings (e.g.,
only one rider per vehicle
or a common origin for all riders). Moreover,
naive applications of standard approaches, such as the Vickrey-Clarke-Groves or greedy mechanisms, cannot achieve a polynomial-time, truthful, individually rational and budget balanced mechanism. To address this, we formulate a general ridesharing problem and apply mechanism design to develop a novel mechanism which satisfies all four properties and whose social cost is within 8.6% of the optimal on average.
@inproceedings{ijcai2021p38,
title = {A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism},
author = {Iwase, Tatsuya and Stein, Sebastian and Gerding, Enrico H.},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {268--275},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/38},
url = {https://doi.org/10.24963/ijcai.2021/38},
}
TY - CPAPER TI - A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism AU - Iwase, Tatsuya AU - Stein, Sebastian AU - Gerding, Enrico H. T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 268 EP - 275 DO - 10.24963/ijcai.2021/38 UR - https://doi.org/10.24963/ijcai.2021/38 ER -Copied
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