Station Balancing System of a Bike Sharing System by Means of a Multi-agent System in Collaboration with the User’s Decision-Reference-Cited by-同舟云学术

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Station Balancing System of a Bike Sharing System by Means of a Multi-agent System in Collaboration with the User’s Decision

Published:2023 Issue: Volume: Page:63-73
ISSN:1865-0929
Container-title:Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection
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Author:

Pérez-Lancho Belén^ORCID,González-Briones Alfonso^ORCID,Pinto Blanca Mellado,Rodríguez Sara^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-37593-4_6

Reference11 articles.

1. Aeschbach, P., Zhang, X., Georghiou, A., Lygeros, J.: Balancing bike sharing systems through customer cooperation - a case study on London’s Barclays cycle hire. In: 2015 54th IEEE Conference on Decision and Control (CDC), pp. 4722–4727 (2015). https://doi.org/10.1109/CDC.2015.7402955

2. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Fernández,2019

3. Lecture Notes in Computer Science;L Di Gaspero,2013

4. Li, G., et al.: Towards smart transportation system: a case study on the rebalancing problem of bike sharing system based on reinforcement learning. J. Organ. End User Comput. 33(3) (2021). https://doi.org/10.4018/JOEUC.20210501.oa3

5. Liu, J., et al.: Station site optimization in bike sharing systems. In: 2015 IEEE International Conference on Data Mining, pp. 883–888 (2015). https://doi.org/10.1109/ICDM.2015.99

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