Sustainable planning battery electric buses charging station under two decision-making criteria

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration Pub Date : 2025-09-13 DOI:10.1016/j.jii.2025.100937

Dong Fan , Yanjiao Wang , Xuejie Bai , Yankui Liu

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引用次数: 0

Abstract

This study addresses the sustainable planning of charging locations and times for battery electric buses (BEBs) under uncertain weather conditions, aiming to minimize the operational risks and enhance the environmental sustainability. With BEBs as a key component of sustainable urban development, their operational efficiency and environmental impact are heavily influenced by uncertain weather conditions. To model this situation, we introduce a new risk measure, excess probability, to quantify the impact of weather uncertainty on BEB operations. To address the inherent uncertainties in weather conditions, three globalized robust optimization (GRO) models are built for our studied problem, which can be reformulated as mixed-integer linear programming (MILP) models. A new tailored Benders decomposition (BD) algorithm is designed for MILP models with acceleration strategies. The advantages of the proposed method are verified via a real case about a bus route in Edmonton. The results also highlight the importance of addressing risk preferences in decision-making process and balancing the operational costs with service reliability.

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两种决策准则下的纯电动客车充电站可持续规划

本文研究了不确定天气条件下纯电动公交车充电地点和充电时间的可持续规划问题，旨在最大限度地降低运营风险，提高环境可持续性。作为可持续城市发展的关键组成部分，beb的运行效率和环境影响受到不确定天气条件的严重影响。为了模拟这种情况，我们引入了一个新的风险度量，超额概率，以量化天气不确定性对BEB操作的影响。为了解决天气条件固有的不确定性，我们针对所研究的问题建立了三个全球化鲁棒优化（GRO）模型，它们可以被重新表述为混合整数线性规划（MILP）模型。针对具有加速策略的MILP模型，设计了一种新的定制Benders分解算法。以埃德蒙顿某公交线路为例，验证了该方法的优越性。研究结果还强调了在决策过程中解决风险偏好和平衡运营成本与服务可靠性的重要性。

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

Journal of Industrial Information Integration Decision Sciences-Information Systems and Management

CiteScore

22.30

自引率

13.40%

发文量

100

期刊介绍： The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.