Cited by 253Transportation and Mobility InnovationsTransportation Planning and OptimizationTraffic control and management

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Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand

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Boesch, Patrick M., Ciari, Francesco, Axhausen, Kay W.·2016·Transportation Research Record: Journal of the Transportation Research Board

DOI 10.3141/2542-13

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Abstract

Automated vehicles (AVs) promise many benefits for future mobility. One of them is a reduction of the required total vehicle fleet size, especially if AVs are used predominantly as shared vehicles. This paper presents research on this potential reduction for the greater Zurich, Switzerland, region. Fleets of shared AVs serving a predefined demand were simulated with a simulation framework introduced in the paper. Scenarios combining levels of demand for AVs with levels of supply (i.e., AV fleet sizes) were created. An important contribution of this study is the use of travel demand at highly detailed spatial and temporal resolutions that goes beyond the simplifications used in previous studies on the topic. This detailed travel demand provides a more solid basis for the ongoing discussion about the future fleet size. It was found that for a given fleet performance target (here, the target was for 95% of all transport requests to be served within 5 min), the relationship between served demand and required fleet size was nonlinear and the ratio increased as demand increased. A scale effect was detected. This effect has the important implication that for different levels of demand the fleet is used more or less efficiently. This study also found that if waiting times of up to 10 min were accepted, a reduction of up to 90% of the total vehicle fleet could be possible even without active fleet management, like vehicle redistribution. Such effects require, however, that a large eno…

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Authors: Boesch, P. M., Ciari, F., & Axhausen, K. W.
Affiliations: Institut für Verkehrsplanung und Transportsysteme, Eidgenössische Technische Hochschule Zürich, CH-8093 Zurich, Switzerland
ETH Zurich (CH)
ORCID: Ciari, Francesco
Axhausen, Kay W.
Venue: Transportation Research Record: Journal of the Transportation Research Board
Publisher: SAGE Publications
Published: 2016-01
Volume: 2542
Issue: 1
Pages: 111-119
ISSN: 0361-1981 (ISSN-L)
2169-4052
DOI: 10.3141/2542-13
OpenAlex: W2405705374
Cited by: 253
References: 12
Citations by year: 2026: 7 · 2025: 13 · 2024: 17 · 2023: 30 · 2022: 29 · 2021: 45 · 2020: 39 · 2019: 34 · 2018: 26 · 2017: 11 · 2016: 2
FWCI: 21.20
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: other-oa
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
Repository for Publications and Research Data (ETH Zurich) (acceptedVersion, other-oa)
PolyPublie (École Polytechnique de Montréal) (submittedVersion)
ETH Zürich Research Collection
Topics: Social Sciences › Transportation › Transportation and Mobility Innovations
Social Sciences › Transportation › Transportation Planning and Optimization
Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
Keywords: autonomous vehicles, shared mobility, vehicle fleet size, fleet size reduction, demand level, scale effects, fleet management, travel demand, Zürich region

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Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand

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