期刊
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
卷 128, 期 -, 页码 185-206出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2019.07.005
关键词
Electric vehicle sharing; Infrastructure planning; Dynamic system
类别
资金
- U.S. National Science Foundation [1637772, 1638355]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1637772] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1638355] Funding Source: National Science Foundation
We propose an innovative framework to deploy a one-way Electric Vehicle (EV) sharing system that serves an urban area. For the first time, long-term infrastructure planning (charging station location and fleet distribution) and real-time fleet operations (relocation and charging decisions) are jointly optimized under time-varying uncertain demand. This substantially advances EV sharing system efficiency and yields a practical management strategy. We propose a multistage stochastic model to address the critical challenge of time-varying uncertain demand. An accelerated solution algorithm is developed to conquer the curse of dimensionality in integer infrastructure planning decisions. Meaningful insights are delivered through hypothetical numerical experiments and a realistic case study with EV sharing service in the New York City. (C) 2019 Elsevier Ltd. All rights reserved.
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