Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities

Conference paper (2017)

Authors

M.K.E. Winter Transport and Planning - CEG
O. Cats Transport and Planning - CEG
B. van Arem Transport and Planning - CEG
Karel Martens Technion
Research Group
Transport and Planning (CEG) (TU Delft)
Fleet Management Externalities Automated Taxis Vehicle Relocation
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Published Date

08-08-2017

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

The introduction of taxi-like transit services operated by shared automated vehicles comes into sight with the development of vehicle automation. In this paper, the operation of such a service is simulated for a generic grid network in order to determine the impact of different relocation strategies for idle vehicles on passenger waiting time, empty mileage and parking needs. The tested strategies consist of remaining idle at the latest drop-off location, returning to the initial position, relocating to a random location, relocating according to anticipated demand or relocating to a zone with a low vehicle supply. For the simulated case study, remaining idle outperformed the other relocation strategies in terms of service efficiency and service effectiveness, while the strategy of evenly or randomly dispersing vehicles over the network lead to largest reduction of the number of parked vehicles per link, and the strategy of anticipating demand to largest reduction of deadheading mileages.

Files

08005630.pdf
(.pdf | 0.423 Mb)