碳排放限制下机场客运线路定制优化

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
Song Liu, Shiyuan Feng, Yan Wang, Dennis Z. Yu, Shan Jiang, Xianting Ma, Yong Peng
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引用次数: 0

摘要

针对考虑碳排放约束的机场客运线路定制化优化问题,本文提出了一种通过解决乘客时间窗约束、确定最优客运路径、优化下落站数量和车辆占用率等因素实现总成本最小化的优化模型。总成本包括定制客运业务的运营费用和每位旅客的出行时间成本。我们开发了一种退火遗传算法来求解该模型,并提供了一个案例分析。研究结果表明,该算法和模型使决策者能够根据具体需求快速选择总成本最小的客运路径方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Customized passenger path optimization for airport connections under carbon emissions restrictions
In response to the challenge of optimizing customized passenger transport paths for airport connections while taking carbon emissions constraints into account, this paper proposes an optimization model that minimizes the total cost by addressing passenger time window constraints, determining optimal passenger transport paths, and optimizing factors like the number of drop-off stations and vehicle occupancy rates. The total cost comprises the operational expenses of customized passenger transport businesses and travel time costs per passenger. We develop an annealing genetic algorithm to solve the model and provide a case analysis. Our findings indicate that the algorithm and the model empower decision-makers to swiftly select passenger transport path schemes that minimize the total cost with their specific requirements.
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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