Abstract
Demand-responsive transportation systems deal with the challenge of creating dynamic routes to accommodate user displacement demand. Given a user request, its spatial and temporal constraints influence the ease of allocating it and, in turn, the cost involved to complete it. Aiming to ease request allocation and reduce system costs, we propose a gamification-based algorithm that optimises the solutions computed for a demand-responsive transportation system. The gamification system aims to group user demand spatially and temporally through a reward system. Users who issue particularly costly requests are presented with a modification of its constraints together with a reward that incentivises the modification’s acceptance. In this paper, we formalise the problem, present the demand-grouping algorithm, and describe the user’s interaction with the gamification system. A case study is developed to exemplify the use of the proposal and its cost optimisation potential.
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Acknowledgement
This work is partially supported by grant PID2021-123673 and PDC2022-133161-C32 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. Pasqual Martí is supported by grant ACIF/2021/259 funded by the “Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana”. Jaume Jordán is supported by grant IJC2020-045683-I funded by MCIN/AEI/10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”. Bogdan Okreša Ɖurić is supported by the project MOBODL-2023-08-5618 funded by the European Union and the Croatian Science Foundation. Markus Schatten and Bogdan Okreša urić are supported by the Croatian Science Foundation under the project number IP-2019-04-5824.
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Martí, P., Jordán, J., Ɖurić, B.O., Julian, V., Schatten, M. (2025). Gamification System for Improved Demand-Responsive Transportation. In: González-Briones, A., et al. Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection. PAAMS 2024. Communications in Computer and Information Science, vol 2149. Springer, Cham. https://doi.org/10.1007/978-3-031-73058-0_6
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