Generalized Stable User Matching for Autonomous Vehicle Co-Ownership Programs

IF 1.9 4区 管理学 Q3 BUSINESS
Anpeng Zhang, J. E. Kang, C. Kwon
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引用次数: 3

Abstract

We investigate a new form of car-sharing system that can be introduced in the market for autonomous vehicles called fractional ownership or co-ownership. Although dynamic ride sharing provides ad hoc shared mobility services without any long-term commitment, we consider co-ownership programs with which users can still “own” a car with committed usage and ownership. We assume that an autonomous vehicle is shared by a group of users, which is only accessible by the group. We use stable matching to help users find an appropriate group with which to share an autonomous vehicle and present a generalized stable matching model that allows flexible sizes of groups as well as various alternative objectives. We also present a heuristic algorithm to improve computational time owing to the combinatorial properties of the problem.
自动驾驶车辆共有方案的广义稳定用户匹配
我们研究了一种可以引入自动驾驶汽车市场的新形式的汽车共享系统,称为部分所有权或共同所有权。尽管动态拼车提供了不需要任何长期承诺的临时共享移动服务,但我们考虑了共同拥有计划,用户仍然可以在承诺使用和所有权的情况下“拥有”一辆汽车。我们假设一辆自动驾驶汽车由一组用户共享,只有该组用户才能访问。我们使用稳定匹配来帮助用户找到一个合适的群体来共享一辆自动驾驶汽车,并提出了一个广义的稳定匹配模型,该模型允许灵活的群体规模以及各种替代目标。由于问题的组合性,我们还提出了一种启发式算法来改进计算时间。
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来源期刊
Service Science
Service Science Multiple-
CiteScore
3.30
自引率
4.30%
发文量
22
期刊介绍: Service Science publishes innovative and original papers on all topics related to service, including work that crosses traditional disciplinary boundaries. It is the primary forum for presenting new theories and new empirical results in the emerging, interdisciplinary science of service, incorporating research, education, and practice, documenting empirical, modeling, and theoretical studies of service and service systems. Topics covered include but are not limited to the following: Service Management, Operations, Engineering, Economics, Design, and Marketing Service System Analysis and Computational Simulation Service Theories and Research Methods Case Studies and Application Areas, such as healthcare, energy, finance, information technology, logistics, and public services.
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