%0 Unpublished work %T Shifts in perspective: Operational aspects in (non-) autonomous ride-pooling simulations %+ Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM) %+ Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich) %+ MOIA GmbH %+ IRT SystemX %A Kuehnel, Nico %A Zwick, Felix %A Hörl, Sebastian %Z VWM %8 2021-05-26 %D 2021 %K ride-sharing %K pooled on-demand mobility %K MATSim %K electric vehicles %K operations research %Z Computer Science [cs]/Modeling and Simulation %Z Engineering Sciences [physics]/Civil Engineering/Infrastructures de transport %Z Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]Preprints, Working Papers, ... %X In this article, we simulate and evaluate the operational challenges of non-autonomous ridepooling systems through driver shifts and breaks and compare their capacity and efficiency to automated on-demand services. We introduce shift and break schedules and a new hub return logic to perform the respective tasks at different types of vehicle hubs. This way, currently operating on-demand services are modelled more realistically and the efficiency gains of such services through autonomous vehicles are quantified. The results suggest that operational challenges substantially limit the ride-pooling capacity in terms of served rides with a given number of vehicles. While results largely depend on the chosen shift plan, the presented operational factors should be considered for the assessment of current operational real-world services. The contribution of this study is threefold-from a technical perspective, it is shown that the explicit simulation of operational constraints of current services is crucial to assess ride-pooling services. From a policy perspective, the study shows the potential of future autonomous services in direct comparison with non-autonomous services. Lastly, the paper adds to the literature a realistic ride-pooling simulation use case based on observed real-world demand and shift data. %G English %2 https://hal.science/hal-03237812/document %2 https://hal.science/hal-03237812/file/shifts_in_perspective_26may21.pdf %L hal-03237812 %U https://hal.science/hal-03237812 %~ GENIECIVIL %~ TDS-MACS %~ IRT-SYSTEMX