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Structural and Multidisciplinary Optimization
Published in: Structural and Multidisciplinary Optimization 4/2020

21-12-2019 | Research Paper

Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach

Authors: Ungki Lee, Namwoo Kang, Ikjin Lee

Published in: Structural and Multidisciplinary Optimization | Issue 4/2020

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Abstract

Shared autonomous electric vehicles (SAEVs) are a promising car-sharing service expected to be implemented in the near future. However, existing studies on the optimization of SAEV systems do not consider uncertainties in the SAEV systems, which may interfere with the achievement of the desired performance or objective. From the perspective of the company, a SAEV system should be designed to minimize the total cost while securing the targeted wait time of the customer, but uncertainties in the SAEV system can cause variation in the customer wait time, which can lead to inconveniences to customers and damage to the reputation of the company. Therefore, this study considers the uncertainties in a SAEV system and applies reliability-based design optimization (RBDO) to the design of the SAEV system to minimize the total cost of system design while satisfying the target reliability of the customer wait time. A comparison of the optimization results of various wait time constraints and probabilities of failure provides observations on applying RBDO to the design of a SAEV system. Furthermore, several insights can be obtained through various parametric studies. From this study, it is verified that RBDO can be successfully applied to the design of a SAEV system and a design framework for the SAEV system that can both lower the cost and ensure the reliability of the customer wait time is proposed.
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Metadata
Title
Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach
Authors
Ungki Lee
Namwoo Kang
Ikjin Lee
Publication date
21-12-2019
Publisher
Springer Berlin Heidelberg
Published in
Structural and Multidisciplinary Optimization / Issue 4/2020
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-019-02434-0

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