Fleet Sizing for Pooled (Automated) Vehicle Fleets
Document Type
Journal Article
Publication Date
2020
Subject Area
infrastructure - fleet management, mode - demand responsive transit, ridership - demand, place - europe
Keywords
automated vehicles, on-demand public transport, point-to-point service
Abstract
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 predefined pick-up and drop-off locations. In this way, detours 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 programming 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.
Rights
Permission to publish the abstract has been given by SAGE, copyright remains with them.
Recommended Citation
Balac, M., Hörl, S., & Axhausen, W. (2020). Fleet Sizing for Pooled (Automated) Vehicle Fleets. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2674(9), pp. 168-176.
