华南理工大学学报(自然科学版) ›› 2010, Vol. 38 ›› Issue (10): 100-104.doi: 10.3969/j.issn.1000-565X.2010.10.019

• 交通与运输工程 • 上一篇    下一篇

基于模糊逻辑的停车泊位预约实时决策方法

季彦婕 王炜 邓卫   

  1. 东南大学 交通学院, 江苏 南京 210096
  • 收稿日期:2009-09-14 修回日期:2009-11-26 出版日期:2010-10-25 发布日期:2010-10-25
  • 通信作者: 季彦婕(1980-),女,博士,讲师,主要从事交通运输规划与管理研究. E-mail:jiyanjie@8eu.edu.cn
  • 作者简介:季彦婕(1980-),女,博士,讲师,主要从事交通运输规划与管理研究.
  • 基金资助:

    国家自然科学基金资助项目(50908051 50708019); 高等学校博士学科点专项科研基金资助项目(20070286006)

Real-Time Decision-Making Method Based on Fuzzy Logic for Parking Reservation

Ji Yan-jie  Wang Wei  Deng Wei   

  1. School of Transportation,Southeast University,Nanjing 210096,Jiangsu,China
  • Received:2009-09-14 Revised:2009-11-26 Online:2010-10-25 Published:2010-10-25
  • Contact: 季彦婕(1980-),女,博士,讲师,主要从事交通运输规划与管理研究. E-mail:jiyanjie@8eu.edu.cn
  • About author:季彦婕(1980-),女,博士,讲师,主要从事交通运输规划与管理研究.
  • Supported by:

    国家自然科学基金资助项目(50908051 50708019); 高等学校博士学科点专项科研基金资助项目(20070286006)

摘要: 停车泊位预约是停车诱导信息系统的一项高级功能.为了体现公平性及平衡不同时段的停车需求,将收益管理的理念引入停车泊位预约系统,提出基于模糊逻辑的停车泊位预约实时决策方法.通过求解理想情况下的停车泊位预约决策模型产生相应的最优预约决策,确定模糊规则库,运用模糊逻辑判断实时在线决定是否接受泊位预约申请.该方法简便易行,能够在短时间内帮助系统处理泊位预约申请,并保证被接受的申请者能够在预订的时刻顺利完成车辆停放,同时也能最大化停车场的收益.

关键词: 停车泊位预约, 实时决策, 模糊逻辑, 收益管理

Abstract:

Parking reservation is an advanced function in the parking guidance and information system.In order to ensure the fairness and balance of parking demands in different time sections,this paper introduces the concept of revenue management in the parking reservation system and proposes a fuzzy logic-based real-time decision-making method.Based on the optimal reservation decision made by the solution of the model under the ideal condition,a fuzzy rule set is generated,and an online decision of whether to accept a reservation requisition is made with the help of the fuzzy logic.The proposed method is simple and convenient.It helps to deal with the parking reservation rapidly and ensure applicants to complete their parking within a reserved time period,with the parking revenue being also maximized.

Key words: parking reservation, real-time decision-making, fuzzy logic, revenue management