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Communication Dans Un Congrès Année : 2024

Comparative assessment of fairness in on-demand fleet management algorithms

Tarek Chouaki
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Sebastian Hörl

Résumé

On-demand mobility systems in which a fleet of shared vehicles are increasingly tested and deployed. Their efficiency gains are partly due to central algorithms that control the movements and actions of vehicles and drivers. Existing assessments of the performance of such algorithms in large-scale simulation environments assume homogeneous users and vastly ignore special needs of vulnerable users. In this paper, we perform an assessment of two frequently used fleet management algorithms and compare their behaviour when working with heterogeneous customer demand. We show that requests for which higher interaction times at pick-up are anticipated are rejected with higher probability, propose measures to increase the fairness of these algorithms, and propose pathways for future research.
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Dates et versions

hal-04551002 , version 1 (18-04-2024)

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  • HAL Id : hal-04551002 , version 1

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Tarek Chouaki, Sebastian Hörl. Comparative assessment of fairness in on-demand fleet management algorithms. The 12th Symposium of the European Association for Research in Transportation (hEART), Jun 2024, Espoo, Finland. ⟨hal-04551002⟩
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