Optimal management of shared parking spaces under uncertain supply and demand: An agent-based approach
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更新:2021-12-03 10:23:22 浏览:126次
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摘要
Shared parking has received considerable attention over the past decade due to its potentiality of alleviating urban parking headaches through improving utilization of the existing parking resources, especially in residential zones when those residents drive their vehicles out. However, little attention has been paid to the risk that the returned residents have no parking spaces, which quite affecting residents’ engagement. Based on the precondition that any resident has a parking space, the objective of this paper is to explore the potential for the shared parking spaces. Firstly, a novel reservation and allocation mechanism of shared parking was proposed. Secondly, an agent simulation model was developed to track the NP-hard problem, regarding the shared procedure as a queuing system. Finally, the optimal number of shared parking spaces was obtained through numerical tests. The result has proved that the proposed shared strategy has brought about vast improvements in both utilization and turnover rate of parking spaces, compared with the non-shared circumstances. This paper provides a novel method for the solutions to the proportion of shared parking spaces in the residential area.
稿件作者
HONGZHI GUAN
Beijing University of Technology
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