Autonomous Electric Vehicle Sharing System Design

Author:

Kang Namwoo1,Feinberg Fred M.2,Papalambros Panos Y.3

Affiliation:

1. Assistant Professor Mem. ASME K-School, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea e-mail:

2. Professor Ross School of Business, Department of Statistics, University of Michigan, Ann Arbor, MI 48109 e-mail:

3. Professor Fellow ASME Optimal Design Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109 e-mail:

Abstract

Car sharing services promise “green” transportation systems. Two vehicle technologies offer marketable, sustainable sharing: autonomous vehicles (AVs) eliminate customer requirements for car pick-up and return, and battery electric vehicles entail zero emissions. Designing an autonomous electric vehicle (AEV) fleet must account for the relationships among fleet operations, charging station (CS) operations, electric powertrain performance, and consumer demand. This paper presents a system design optimization framework integrating four subsystem problems: fleet size and assignment schedule; number and locations of charging stations; vehicle powertrain requirements; and service fees. We also compare an AEV service and autonomous vehicle (AV) service with gasoline engines. A case study for an autonomous fleet operating in Ann Arbor, MI, is used to examine AEV and AV sharing systems profitability and feasibility for a variety of market scenarios. The results provide practical insights for service system decision makers.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Reference42 articles.

1. Shaheen, P., and Cohen, A., 2014, “Innovative Mobility Carsharing Outlook,” University of Berkeley, Berkeley, CA.

2. Zipcar;Zipcar,2015

3. Car2go;Car2go,2015

4. Autonomous Vehicle Implementation Predictions,2014

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