交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (6): 141-152.DOI: 10.16097/j.cnki.1009-6744.2023.06.015

• 系统工程理论与方法 • 上一篇    下一篇

考虑潜在需求的区域共享泊位滚动时域分配研究

孙超*,尹浩为,宋茂灿,张鹏   

  1. 江苏大学,汽车与交通工程学院,江苏 镇江 212013
  • 收稿日期:2023-09-12 修回日期:2023-10-09 接受日期:2023-10-13 出版日期:2023-12-25 发布日期:2023-12-23
  • 作者简介:孙超(1990- ),男,江苏建湖人,副教授,博士。
  • 基金资助:
    教育部人文社会科学研究基金 (22YJCZH153);国家自然科学基金 (71801115);江苏省研究生实践创新计划/ (SJCX22_1877)。

Rolling Time Domain Allocation of Regional Shared Parking Considering Potential Demand

SUN Chao*,YIN Hao-wei,SONG Mao-can,ZHANG Peng   

  1. School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China
  • Received:2023-09-12 Revised:2023-10-09 Accepted:2023-10-13 Online:2023-12-25 Published:2023-12-23
  • Supported by:
    Humanities and Social Sciences Foundation of the Ministry of Education of China (22YJCZH153);National Natural Science Foundation of China (71801115);Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX22_1877)。

摘要: 为研究城市道路网络交通状况和停车潜在需求对区域共享泊位选择的影响,本文通过分析历史停车数据得到当日潜在停车需求,以区域共享停车场和道路网络为研究对象,构建考虑潜在需求的区域多停车场泊位动态预约与分配整数线性规划模型。模型以平台收益和用户成本两者综合收益最高为目标,在分配开始前,处理提前预约停车用户数据时考虑潜在停车需求,提前拒绝一部分周转率较差和车位利用率较低的停车预约用户,在开始分配阶段,同时考虑提前预约用户和临时预约用户,根据实时路网交通流状况进行车位滚动时域分配。通过模型评价和算例分析发现,当停车需求较大时,在实时分配预约停车用户过程中考虑潜在需求能够提高后续泊位分配收益。相比单一停车场的共享泊位分配研究,考虑潜在需求并根据路网交通状况和停车用户信息进行区域共享泊位滚动时域动态分配会使停车场收益平均提高10%,停车位利用率和拒绝率分别提高20%和降低8.5%。在考虑潜在需求的情况下,拒绝的停车用户数量和停车时长均显著影响系统收益。模型可为共享停车平台在局部存在多共享停车场和多目的地时的停车分配与管理决策提供理论参考。

关键词: 交通工程, 动态泊位分配, 整数规划, 共享停车, 停车需求

Abstract: This paper investigates the impact of urban road traffic conditions and potential parking demand on the selection of regional shared parking spaces. An integer linear programming model is proposed for dynamic reservation and allocation of regional parking spaces. The potential parking demand is considered in the model and the historical parking data is used to estimate the potential parking demand. The goal of the model is to maximize the comprehensive benefits considering the platform revenue and user costs. The method considers the potential parking demand when processing the requests from the reserved parking users prior to allocation. A portion of requests from reserved parking users might be rejected due to the record of poor turnover and low utilization of parking spaces. At the beginning of the allocation, both the reserved user requests and the new requests are analyzed, and the rolling time domain allocation is performed in consideration of the real-time travel delays. The case study results show that when the parking demand is high, considering the potential demand in the real-time allocation of reserved parking users can improve the parking allocation revenue. Compared to the traditional shared parking mode, the proposed method can improve the parking lot revenue by 10% on average, improve the parking space utilization rate by 20% , and decrease the rejection rate by 8.5%. The system revenue can be significantly affected by the number of users rejected due to poor parking turnover and low utilization of parking space and the length of parking cycle. The model can provide reference for shared parking operation and management with multiple shared parking lots and multiple destinations in the region.

Key words: traffic engineering, dynamic parking space allocation, integer programming, shared parking, parking demand

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