Empowering the Capillary of the Urban Daily Commute: Battery Deployment Analysis for the Locker-Based E-bike Battery Swapping

IF 4.4 2区工程技术 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Transportation Science Pub Date : 2023-12-06 DOI:10.1287/trsc.2022.0132

Xiaolei Xie, Xu Dai, Zhi Pei

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引用次数: 0

Abstract

In densely populated Asian countries, e-bikes have become a new supernova in daily urban transportation. To facilitate the operations of e-bike-based mobility, the present paper studies the management of the battery deployment for the e-bike battery-swapping system, where the unique features of e-bike riding are considered. Given the pedal-assisted mode, e-bike users could abandon waiting and return to the station later on without too much range anxiety. However, because of the time-varying nature of the customer arrival and the complicated user behaviors, the battery quantity at each station is altered to guarantee the designated service level. However, little research has been done on the operations management of the e-bike battery-swapping system. To bridge the gap, we propose a nonstationary queueing network model to characterize the customer behaviors during the battery-swapping service. Then we develop a closed-form delayed infinite-server fluid approximation for the battery deployment of the one-time-loop scenario under various quality-of-service targets. In addition, we handle the infinite-time-loop scenario with the simulation-based iterative staffing algorithm. In the simulation study, we observe that the proposed battery deployment algorithms can help stabilize the system performance in terms of abandonment probability and expected delay in the face of time-varying demand and complex customer behaviors. Moreover, we reveal that the number of return loops correlates with the service level targets on the battery deployment decision. Furthermore, a time gap exists between the demand and the optimal battery deployment, making proactive battery management in the system possible.Funding: This work was supported by the National Natural Science Foundation of China [Grants 72271222, 71871203, 71872093, 72271137, L1924063], and the National Social Science Fund of China [Grant 21&ZD128].Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2022.0132 .

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为城市日常通勤的 "毛细血管 "赋能：基于储物柜的电动自行车电池更换的电池部署分析

在人口稠密的亚洲国家，电动自行车已成为日常城市交通的新超新星。为了方便电动自行车的运营，本文研究了电动自行车电池交换系统的电池部署管理，其中考虑到了电动自行车骑行的独特性。由于采用脚踏辅助模式，电动自行车用户可以放弃等待，稍后再返回站点，而不会对续航能力产生太大的焦虑。然而，由于用户到达时间的不确定性和用户行为的复杂性，每个站点的电池数量都会发生变化，以保证指定的服务水平。然而，有关电动自行车电池更换系统运营管理的研究却很少。为了弥补这一空白，我们提出了一个非稳态排队网络模型，以描述电池更换服务过程中的用户行为。然后，我们开发了一个闭式延迟无限服务器流体近似方法，用于在各种服务质量目标下的一次性循环场景的电池部署。此外，我们还利用基于仿真的迭代人员配置算法处理了无限时环场景。在仿真研究中，我们观察到，面对时变需求和复杂的客户行为，所提出的电池部署算法有助于在放弃概率和预期延迟方面稳定系统性能。此外，我们还发现，返回回路的数量与电池部署决策的服务水平目标相关。此外，需求与最佳电池部署之间存在时间差，这使得系统中的主动电池管理成为可能：本研究得到了国家自然科学基金[72271222, 71871203, 71872093, 72271137, L1924063]和国家社会科学基金[21&ZD128]的资助：在线附录见 https://doi.org/10.1287/trsc.2022.0132 。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Science 工程技术-运筹学与管理科学

CiteScore

8.30

自引率

10.90%

发文量

111

审稿时长

12 months

期刊介绍： Transportation Science, published quarterly by INFORMS, is the flagship journal of the Transportation Science and Logistics Society of INFORMS. As the foremost scientific journal in the cross-disciplinary operational research field of transportation analysis, Transportation Science publishes high-quality original contributions and surveys on phenomena associated with all modes of transportation, present and prospective, including mainly all levels of planning, design, economic, operational, and social aspects. Transportation Science focuses primarily on fundamental theories, coupled with observational and experimental studies of transportation and logistics phenomena and processes, mathematical models, advanced methodologies and novel applications in transportation and logistics systems analysis, planning and design. The journal covers a broad range of topics that include vehicular and human traffic flow theories, models and their application to traffic operations and management, strategic, tactical, and operational planning of transportation and logistics systems; performance analysis methods and system design and optimization; theories and analysis methods for network and spatial activity interaction, equilibrium and dynamics; economics of transportation system supply and evaluation; methodologies for analysis of transportation user behavior and the demand for transportation and logistics services. Transportation Science is international in scope, with editors from nations around the globe. The editorial board reflects the diverse interdisciplinary interests of the transportation science and logistics community, with members that hold primary affiliations in engineering (civil, industrial, and aeronautical), physics, economics, applied mathematics, and business.