Reservation control strategy for shared parking platform

被引:0
|
作者
Zhang L. [1 ]
Mu Y. [2 ]
Fan P. [3 ]
机构
[1] School of Tourism and Culture Industry, Chengdu University, Chengdu
[2] School of Management and Economics, University of Electronic Science and Technology of China, Chengdu
[3] School of Economics, Beijing Technology and Business University, Beijing
基金
中国国家自然科学基金;
关键词
Period-based decomposition; Product-based decomposition; Reservation control strategy; Shared parking; Stochastic dynamic programming;
D O I
10.12011/SETP2020-1860
中图分类号
学科分类号
摘要
In this paper, we studied reservation control strategy of shared parking spaces with uncertain supply and stochastic demand in the framework of stochastic dynamic programming model. A product-based decomposition model and a period-based decomposition model have been proposed to analyze the optimal solution of the stochastic dynamic programming model. The objective function of the product-based decomposition model is supermodular and the objective function of the period-based decomposition model is concave. We proposed three reservation control algorithms to solve the stochastic dynamic programming model. Finally, numerical simulations have verified the effectiveness of the proposed models and algorithms. The results will provide a support for reservation control in the shared parking system. © 2022, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
引用
收藏
页码:437 / 454
页数:17
相关论文
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