交通运输系统工程与信息 ›› 2017, Vol. 17 ›› Issue (1): 212-219.

• 系统工程理论与方法 • 上一篇    下一篇

公共自行车多层次分区调度方法研究

徐建闽1, 2,秦筱然1,马莹莹*1   

  1. 1. 华南理工大学土木与交通学院,广州510640;2. 现代城市交通技术江苏高校协同创新中心,南京210096
  • 收稿日期:2016-04-20 修回日期:2016-08-02 出版日期:2017-02-25 发布日期:2017-02-27
  • 作者简介:徐建闽(1960-),男,山东招远人,教授.
  • 基金资助:

    国家自然科学基金青年基金/National Natural Science Foundation of China(51308227);中央高校基本科研业务费专项资金/ Fundamental Research Funds for the Central Universities(201522087).

Public Bicycle Multilevel Partition Scheduling Method

XU Jian-min1, 2, QIN Xiao-ran1, MAYing-ying1   

  1. 1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China; 2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China
  • Received:2016-04-20 Revised:2016-08-02 Online:2017-02-25 Published:2017-02-27

摘要:

公共自行车发展的制约性问题在于调度滞后,服务水平无法满足用户需求.从时间分布和空间分布两方面分析了公共自行车高峰期潮汐需求规律及其与用地类型的关系.创新地提出以上层调度区域、调度小区和站点为主的多层次分区调度方法.在详细分析了各层次分区流程及相关参数的基础上,提出结合虚拟小区与有时间窗的多目标优化调度模型解决区间调度问题,并且建立了小区内调度的最优路径模型.形成区间灵活调度,区内路径固定的半确定调度体系.案例证明该方法具有较强的可操作性.该方法在保证高峰期及时调度,减少不必要的绕行和拥堵时间,提高调度效率,减少盲目性等方面具有重要意义.

关键词: 城市交通, 调度方法, 数学建模, 公共自行车, 需求特性, 分区方法

Abstract:

The restriction problem of public bicycle system (PBS) development is scheduling delay, so that its service level cannot meet users’demand. From aspects of time and spatial distribution, the relationship between demand pattern and land type of public bicycle station is analyzed. A multilevel partition scheduling method is creatively proposed which is divided into three levels: upper-level scheduling region, scheduling cell and PBS station. Based on the detailed analysis of the hierarchical partitioning process and related parameters, a multi-objective optimization scheduling model with time window combined with virtual cell is presented to solve the problem of inter-cell scheduling. And also the optimal path model of scheduling within cell is built. The pattern of inter- cell flexible scheduling and inner- cell semi- deterministic scheduling is formed. The case study shows that the method is workable. It is significant in reducing the blindness and improving scheduling efficiency, as well as decreasing unnecessary time of detour and congestion and ensuring the timely scheduling during peak hours.

Key words: urban traffic, scheduling method, mathematic modeling, public bicycle system, demand characteristics, partitioning method

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