交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (5): 205-211.

• 系统工程理论与方法 • 上一篇    下一篇

基于G/G/c/FCFS 排队模型的城市停车流量分配模型

常玉林,陈志超,孙超*,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:2019-04-26 修回日期:2019-07-15 出版日期:2019-10-25 发布日期:2019-10-25
  • 作者简介:常玉林(1963-),男,江西吉安人,教授,博士.
  • 基金资助:

    国家自然科学基金/ National Natural Science Foundation of China(71801115);江苏省高校自然科学研究基金/ Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China(13KJB580003);江苏大学高级专业人才科研启动基金/Initial Research Fund for Highly Specialized Persons of Jiangsu University(12JDG056).

Urban Parking Flow Assignment Model Based on G/G/c/FCFS Queuing Theory

CHANG Yu-lin, CHEN Zhi-chao, SUN Chao, ZHANG Peng   

  1. School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
  • Received:2019-04-26 Revised:2019-07-15 Online:2019-10-25 Published:2019-10-25

摘要:

为探索城市路网中交通均衡与停车选择之间的相互关系,本文根据出行者实际停车搜索过程,运用G/G/c/FCFS 停车排队模型,研究了路径流量、行程时间、停车场可用概率三者的关系,进而计算停车场在车辆到达时的可用概率,并将此概率纳入停车搜索路径的广义费用函数,最后根据交通网络中出行者路径选择和停车选择理论,提出基于停车排队理论下的随机用户均衡模型,并设计了模型求解算法. 算例结果表明,本文模型能准确合理地分配城市路网中的停车流量. 研究结论有助于从城市整体角度为停车需求规划提供依据.

关键词: 城市交通, 停车, 交通分配, 排队模型, 随机用户均衡

Abstract:

In order to explore the relationship between traffic equilibrium and parking choice in urban road network, the G/G/c/FCFS parking queuing model was used to study the relationship between path flow, travel time and parking availability probability according to the driver's actual parking search process. Then the parking available probability at the time of arrival at the parking lot was calculated and was incorporated into the generalized cost function of the parking search route. Finally, according to the traveler route choice and parking choice theory in traffic network, the stochastic user equilibrium model under parking queuing theory was proposed and the model solving algorithm was designed. The numerical example results show that the model can allocate parking flow accurately and reasonably in urban road network. This model is helpful to provide the basis for parking demand planning from the overall perspective of the city.

Key words: urban traffic, parking, traffic assignment, queuing model, stochastic user equilibrium

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