Capacity Management in an Automated Shuttle Bus: Findings from a Lab Study

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Abstract

Driverless shuttles bear different and novel challenges for passengers. One of these is related to capacity management, as such shuttles are often smaller (usually from 6 to 12 seats) with limited capacities to (re-)assign seating, control reservations, or arrange travels for groups that exceed a shuttle's capacity. Since a bus driver is missing, passengers need to resolve conflicts or uncertainties on their own, unless additional systems provide such support. In this paper, we present the results from a laboratory study, in which we investigated passenger needs in relation to booking and reserving spots (seats, standing spots, and strollers) in an automated shuttle. We found that such functionalities have a low-to-medium impact on an overall scale but could constitute exclusion criteria for more vulnerable parts of the population, such as older adults, families with small children, or physically impaired individuals.

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Mirnig, A. G., Wallner, V., Gärtner, M., Meschtscherjakov, A., & Tscheligi, M. (2020). Capacity Management in an Automated Shuttle Bus: Findings from a Lab Study. In Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020 (pp. 270–279). Association for Computing Machinery, Inc. https://doi.org/10.1145/3409120.3410665

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