具有双质量点匹配时间的双面排队系统的均衡与社会最优策略

IF 2.3 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Zhen Wang, Cheryl Yang, Yiqiang Q. Zhao
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引用次数: 2

摘要

研究了具有负乘客和两点匹配时间的乘客-出租车双端队列。本文所考虑的系统不同于已有文献的研究,充分探索了乘客与出租车的匹配时间,以及系统的出租车容量。目标是得到两种信息水平下的均衡加盟策略和社会最优加盟策略。为了实际考虑机场终端场景,研究了两种不同的信息水平。理论结果表明,在部分可观测情况下,乘客效用函数是单调的。对于部分可观测情况下的社会福利函数的复数形式,我们使用了分裂求导。可观测情况下的均衡策略和社会最优策略均为阈值型。此外,还采用了一些有代表性的数值场景来可视化理论结果。数值方案说明了在两种信息水平下,参数对均衡策略和社会最优策略的影响。最后,比较了两种信息水平下相同参数下的最优社会福利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equilibrium and socially optimal strategies of a double-sided queueing system with two-mass point matching time
ABSTRACT We study a passenger-taxi double-ended queue with negative passengers and two-point matching time. The system considered in this paper is different from those studied in the existing literature, which fully explores the matching time between passengers and taxis, and the taxi capacity of the system. The objective is to get the equilibrium joining strategy and the socially optimal strategy under two information levels. For the practical consideration of the airport terminal scenario, two different information levels are investigated. The theoretical results show that the passenger utility function in the partially observable case is monotonic. For the complex form of social welfare function of the partially observable case, we use a split derivation. The equilibrium strategy and socially optimal strategy of the observable case are threshold-type. Furthermore, some representative numerical scenarios are used to visualize the theoretical results. The numerical scenarios illustrate the influence of parameters on the equilibrium strategy and socially optimal strategy under two information levels. Finally, the optimal social welfare for the two information levels with the same parameters is compared.
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来源期刊
Quality Technology and Quantitative Management
Quality Technology and Quantitative Management ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.10
自引率
21.40%
发文量
47
审稿时长
>12 weeks
期刊介绍: Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems.
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