Abstract
On this work, we propose a balancing system for a bike sharing service, based on the cooperation of the user in exchange for rewards. This system is implemented as a multiagent system, using the JADE framework. The stations are represented by agents and a server agent manages the consultations and loans of the users. An advantage of this implementation is that it allows to add or remove dynamically stations on run time. Another advantage is that it allows to distribute the system in different machines. The urban mobility simulator SUMO was used to test the effects of the use of the proposed system on the balancing of the bicycle loan service of the city of Salamanca, “Salenbici”. Different simulations were run with varying levels of collaboration from the users. For this simulations, real historical data from the use of the service was used.
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Acknowledgments
This research has been supported by the project “Plataforma edge-iot basada en tecnologias dlt de alta eficiencia energetica para el intercambio de tokens digitales verdes mediante la ejecucion de contratos inteligentes, Reference: PDC2022-133161-C31, financed by MCIN /AEI/https://doi.org/10.13039/501100011033 and NextGeneration EU/PRTR, UE.”
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Pérez-Lancho, B., González-Briones, A., Pinto, B.M., Rodríguez, S. (2023). Station Balancing System of a Bike Sharing System by Means of a Multi-agent System in Collaboration with the User’s Decision. In: Durães, D., González-Briones, A., Lujak, M., El Bolock, A., Carneiro, J. (eds) Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Communications in Computer and Information Science, vol 1838. Springer, Cham. https://doi.org/10.1007/978-3-031-37593-4_6
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