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Title:

Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand

Accession Number:

01595685

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309441469

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 enough share of the car demand be served by AVs.

Monograph Accession #:

01586596

Report/Paper Numbers:

16-2682

Language:

English

Authors:

Boesch, Patrick M
Ciari, Francesco
Axhausen, Kay W

Pagination:

pp 111–119

Publication Date:

2016

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2542
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441469

Media Type:

Print

Features:

Figures (5) ; References (20)

Candidate Terms:

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; Public Transportation; Vehicles and Equipment

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:11PM

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