Abstract
Multi-agent models successfully cope with complexity of transportation systems. When used in combination with real systems, they take data from reality to keep the digital twins update and have the capability to control them. The design of the corresponding models is quite a challenge. In this work, we show how to achieve this with simple tools through an example with educational purposes. We also show how the model handles much more sophisticated, actual transportation systems.
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Ribas-Xirgo, L. (2021). Multi-agent System Model of Taxi Fleets. In: Bergasa, L.M., Ocaña, M., Barea, R., López-Guillén, E., Revenga, P. (eds) Advances in Physical Agents II. WAF 2020. Advances in Intelligent Systems and Computing, vol 1285. Springer, Cham. https://doi.org/10.1007/978-3-030-62579-5_9
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DOI: https://doi.org/10.1007/978-3-030-62579-5_9
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