Fleet Sizing for Pooled (Automated) Vehicle Fleets

Autor: Miloš Balać, Sebastian Hörl, Kay W. Axhausen
Přispěvatelé: Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)
Rok vydání: 2020
Předmět:
Zdroj: Transportation Research Record
Transportation Research Record, SAGE Journal, 2020, 2674 (9), pp.168-176. ⟨10.1177/0361198120927388⟩
Arbeitsberichte Verkehrs-und Raumplanung, 1455
Transportation Research Record, 2674 (9)
ISSN: 2169-4052
0361-1981
Popis: This paper proposes an automated on-demand public transport service using different vehicle capacities to serve current car demand in cities. The service relies on space and time aggregation of passengers that have similar origins and destinations. It provides a point-to-point service with pre-defined pick-up and drop-off locations In this way, detours in order to pick-up en-route passengers is avoided. The optimization problem that minimizes the fleet size along with limiting rebalancing distances is defined as a mixed integer linear programing problem. Solving the problem for Zurich, Switzerland yields, in the best case, a fleet size equal to 3.7% of the current fleet that could serve current car demand. Vehicle kilometers traveled could also be reduced by nearly 10%. Results also show that the speed of automated vehicles has a substantial effect on the necessary fleet size and free-flow speeds generally produce over-optimistic results.
Arbeitsberichte Verkehrs- und Raumplanung, 1455
Databáze: OpenAIRE