The automated valet parking problem for parking garage service provision

Abstract Automated valet parking is a use case for autonomous driving. It allows customers to leave their vehicles at the entrance of a parking garage. The vehicles then independently steer to a parking space. Besides increasing comfort, automated valet parking also enables parking garage operators to provide additional services, such as charging an electric vehicle, to which the vehicle can be autonomously routed. We formulate automated valet parking service provision as a scheduling problem and propose solution methods that focus on runtime and quality of results. The results show that the proposed optimization approach is capable of slightly outperforming heuristic benchmarks in many scenarios. However, we also find that the First-Come-First-Served and Earliest-Due-Date-First heuristics are often satisfying scheduling approaches. In addition, the potential of optimizing automated valet parking service provision is compared to traditional parking garages, showing at least a 46.4% increase in charging and other services scheduled.

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Publication Details

Journal
Journal of Scheduling
Published
2026-10-13
DOI
https://doi.org/10.1007/s10951-026-00894-z
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
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article

The automated valet parking problem for parking garage service provision

Philipp Staudt, Marc Schmidt
Journal of Scheduling
Smart Parking Systems Research
article

The automated valet parking problem for parking garage service provision

Philipp Staudt, Marc Schmidt
article en

Abstract

Abstract Automated valet parking is a use case for autonomous driving. It allows customers to leave their vehicles at the entrance of a parking garage. The vehicles then independently steer to a parking space. Besides increasing comfort, automated valet parking also enables parking garage operators to provide additional services, such as charging an electric vehicle, to which the vehicle can be autonomously routed. We formulate automated valet parking service provision as a scheduling problem and propose solution methods that focus on runtime and quality of results. The results show that the proposed optimization approach is capable of slightly outperforming heuristic benchmarks in many scenarios. However, we also find that the First-Come-First-Served and Earliest-Due-Date-First heuristics are often satisfying scheduling approaches. In addition, the potential of optimizing automated valet parking service provision is compared to traditional parking garages, showing at least a 46.4% increase in charging and other services scheduled.

Journal of Scheduling
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 16%
Smart Parking Systems Research
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