Fleet control algorithms for automated mobility: A simulation assessment for Zurich
Axhausen, Kay W.
- Working Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
The performance of four different dispatching and rebalancing algorithms for the control of an automated mobility-on-demand system is evaluated in a simulation environment. The case study conducted with an agent-based simulation scenario of the city of Zurich shows that the choice of an intelligent rebalancing algorithm decreases the average wait time in the system. For a wait time of four minutes at peak hours the most performant algorithm requires the same price per vehicle kilometer as a private car today. The results show that such an automated mobility on demand service can be offered while maintaining a higher fleet occupancy than with conventional private cars Show more
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Journal / seriesArbeitsberichte Verkehrs- und Raumplanung
PublisherIVT ETH Zurich
Organisational unit03521 - Axhausen, Kay W.
09574 - Frazzoli, Emilio
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
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