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基于Logistic模型的混合自行车流量-密度关系

周旦 马晓龙 金盛 王殿海

周旦, 马晓龙, 金盛, 王殿海. 基于Logistic模型的混合自行车流量-密度关系[J]. 交通运输工程学报, 2016, 16(3): 133-141. doi: 10.19818/j.cnki.1671-1637.2016.03.016
引用本文: 周旦, 马晓龙, 金盛, 王殿海. 基于Logistic模型的混合自行车流量-密度关系[J]. 交通运输工程学报, 2016, 16(3): 133-141. doi: 10.19818/j.cnki.1671-1637.2016.03.016
ZHOU Dan, MA Xiao-long, JIN Sheng, WANG Dian-hai. Flow-density relationship of mixed bicycles based on Logistic model[J]. Journal of Traffic and Transportation Engineering, 2016, 16(3): 133-141. doi: 10.19818/j.cnki.1671-1637.2016.03.016
Citation: ZHOU Dan, MA Xiao-long, JIN Sheng, WANG Dian-hai. Flow-density relationship of mixed bicycles based on Logistic model[J]. Journal of Traffic and Transportation Engineering, 2016, 16(3): 133-141. doi: 10.19818/j.cnki.1671-1637.2016.03.016

基于Logistic模型的混合自行车流量-密度关系

doi: 10.19818/j.cnki.1671-1637.2016.03.016
基金项目: 

国家自然科学基金项目 51338008

国家自然科学基金项目 51278454

国家自然科学基金项目 51208462

详细信息
    作者简介:

    周旦(1978-), 男, 江西修水人, 桂林电子科技大学讲师, 浙江大学工学博士研究生, 从事混合交通流与道路交通控制研究

    王殿海(1962-), 男, 吉林大安人, 浙江大学教授, 工学博士

  • 中图分类号: U491.26

Flow-density relationship of mixed bicycles based on Logistic model

More Information
  • 摘要: 针对非机动道路内电动自行车与传统自行车混合行驶的交通现象, 在分析混合自行车交通流特性的基础上引入Logistic模型, 利用数值分析方法建立了适用于描述混合自行车流量-密度关系的数学模型与自行车道通行能力计算模型, 利用杭州市6个路段的实测数据进行数据拟合, 得到了通行能力估计值, 对车流样本中的最大速度、自由流速度、最佳密度进行了参数敏感性分析。研究结果表明: 6个路段数据的拟合优度分别为0.92、0.93、0.93、0.95、0.98、0.96, 通行能力分别为2 968、2 641、2 687、2 754、2 646、3 065 bic·(h·m)-1, 因此, 模型能较好地描述城市混合自行车交通流在不同状态下的变化特征, 为进一步揭示城市自行车道内混合自行车交通流运行机理提供了新的思路。

     

  • 图  1  检测区域

    Figure  1.  Detection area

    图  2  vP的关系

    Figure  2.  Relationships between v and P

    图  3  6个路段实测数据与拟合曲线

    Figure  3.  Field data and fitting curves of six road sections

    图  4  vmax对模型曲线的影响

    Figure  4.  Influence of vmax on model curves

    图  5  v对模型曲线的影响

    Figure  5.  Influence of v on model curves

    图  6  km对模型曲线的影响

    Figure  6.  Influence of km on model curves

    表  1  混合自行车流中电动自行车的比例范围

    Table  1.   Proportion ranges of electric bicycle in mixed bicycle traffic flow

    下载: 导出CSV

    表  2  vP的拟合结果

    Table  2.   Fitting results of v and P

    下载: 导出CSV

    表  3  实测数据拟合结果及通行能力估计

    Table  3.   Fitting results of field data and estimation of traffic capacity

    下载: 导出CSV
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出版历程
  • 收稿日期:  2015-12-01
  • 刊出日期:  2016-06-25

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