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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Mechanism Design with Predicted Task Revenue for Bike Sharing Systems

February 1, 2023

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Authors

Hongtao Lv

Shanghai Jiao Tong University


Chaoli Zhang

Shanghai Jiao Tong University


Zhenzhe Zheng

Shanghai Jiao Tong University


Tie Luo

Missouri University of Science and Technology


Fan Wu

Shanghai Jiao Tong University


Guihai Chen

Shanghai Jiao Tong University


DOI:

10.1609/aaai.v34i02.5589


Abstract:

Bike sharing systems have been widely deployed around the world in recent years. A core problem in such systems is to reposition the bikes so that the distribution of bike supply is reshaped to better match the dynamic bike demand. When the bike-sharing company or platform is able to predict the revenue of each reposition task based on historic data, an additional constraint is to cap the payment for each task below its predicted revenue. In this paper, we propose an incentive mechanism called TruPreTar to incentivize users to park bicycles at locations desired by the platform toward rebalancing supply and demand. TruPreTar possesses four important economic and computational properties such as truthfulness and budget feasibility. Furthermore, we prove that even when the payment budget is tight, the total revenue still exceeds or equals the budget. Otherwise, TruPreTar achieves 2-approximation as compared to the optimal (revenue-maximizing) solution, which is close to the lower bound of at least √2 that we also prove. Using an industrial dataset obtained from a large bike-sharing company, our experiments show that TruPreTar is effective in rebalancing bike supply and demand and, as a result, generates high revenue that outperforms several benchmark mechanisms.

Topics: AAAI

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HOW TO CITE:

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen Mechanism Design with Predicted Task Revenue for Bike Sharing Systems Proceedings of the AAAI Conference on Artificial Intelligence (2020) 2144-2151.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen Mechanism Design with Predicted Task Revenue for Bike Sharing Systems AAAI 2020, 2144-2151.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen (2020). Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 2144-2151.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen. Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.2144-2151.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen. 2020. Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. "Proceedings of the AAAI Conference on Artificial Intelligence". 2144-2151.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen. (2020) "Mechanism Design with Predicted Task Revenue for Bike Sharing Systems", Proceedings of the AAAI Conference on Artificial Intelligence, p.2144-2151

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen, "Mechanism Design with Predicted Task Revenue for Bike Sharing Systems", AAAI, p.2144-2151, 2020.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen. "Mechanism Design with Predicted Task Revenue for Bike Sharing Systems". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.2144-2151.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen. "Mechanism Design with Predicted Task Revenue for Bike Sharing Systems". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 2144-2151.

Hongtao Lv||Chaoli Zhang||Zhenzhe Zheng||Tie Luo||Fan Wu||Guihai Chen. Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. AAAI[Internet]. 2020[cited 2023]; 2144-2151.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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