Optimal management of shared parking spaces under uncertain supply and demand: An agent-based approach
编号:523 访问权限:仅限参会人 更新:2021-12-03 10:23:22 浏览:126次 张贴报告

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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.
关键词
CICTP
报告人
HONGZHI GUAN
Beijing University of Technology

稿件作者
HONGZHI GUAN Beijing University of Technology
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

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Chang'an University
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