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Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences

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AI 2022: Advances in Artificial Intelligence (AI 2022)

Abstract

We look at the dial-a-ride problem through the lens of mechanism design, where the goal is to design mechanisms, toward natural objectives, in strategic settings, where customers act rationally. For this problem, we consider customer preferences for detour times and waiting times of services, as well as mechanisms for minimising the detour times, waiting times, and detour plus waiting times of customers on vehicles. We characterise mechanisms that are economically efficient and game-theoretically truthful. With detour-time preferences, we show that there are mechanisms that are both efficient and truthful in all instances. With waiting-time preferences, we show that there are mechanisms that are efficient but not truthful in some instances.

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Change history

  • 22 January 2023

    In the originally published version of chapter 48, Table 1 and the equation on page 696 contained errors. This has been corrected.

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Acknowledgements

Martin Aleksandrov was supported by the DFG Individual Research Grant on “Fairness and Efficiency in Emerging Vehicle Routing Problems” (497791398). Martin Aleksandrov thanks Prof. Christoph Benzmüller for their brief feedback on the motivation. We thank the reviewers for their valuable and constructive comments.

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Aleksandrov, M., Kilby, P. (2022). Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences. In: Aziz, H., Corrêa, D., French, T. (eds) AI 2022: Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer Science(), vol 13728. Springer, Cham. https://doi.org/10.1007/978-3-031-22695-3_48

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  • DOI: https://doi.org/10.1007/978-3-031-22695-3_48

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