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基于元胞自动机的路内停车对路段通行能力的影响研究

沈金星 蒋文凤 曹惠敏 马昌喜

沈金星, 蒋文凤, 曹惠敏, 马昌喜. 基于元胞自动机的路内停车对路段通行能力的影响研究[J]. 交通信息与安全, 2023, 41(4): 132-142. doi: 10.3963/j.jssn.1674-4861.2023.04.014
引用本文: 沈金星, 蒋文凤, 曹惠敏, 马昌喜. 基于元胞自动机的路内停车对路段通行能力的影响研究[J]. 交通信息与安全, 2023, 41(4): 132-142. doi: 10.3963/j.jssn.1674-4861.2023.04.014
SHEN Jinxing, JIANG Wenfeng, CAO Huimin, MA Changxi. A Study on Impact of Curb Parking on Road Capacity Using Cellular Automata[J]. Journal of Transport Information and Safety, 2023, 41(4): 132-142. doi: 10.3963/j.jssn.1674-4861.2023.04.014
Citation: SHEN Jinxing, JIANG Wenfeng, CAO Huimin, MA Changxi. A Study on Impact of Curb Parking on Road Capacity Using Cellular Automata[J]. Journal of Transport Information and Safety, 2023, 41(4): 132-142. doi: 10.3963/j.jssn.1674-4861.2023.04.014

基于元胞自动机的路内停车对路段通行能力的影响研究

doi: 10.3963/j.jssn.1674-4861.2023.04.014
基金项目: 

国家自然科学基金项目 51808187

国家自然科学基金项目 52062027

详细信息
    作者简介:

    沈金星(1985—),博士,副教授. 研究方向:交通安全与环境. E-mail:shenjx03@163.com

    通讯作者:

    马昌喜(1979—),博士,教授. 研究方向:交通运输系统优化与设计. E-mail:machangxi@mail.lzjtu.cn

  • 中图分类号: U491

A Study on Impact of Curb Parking on Road Capacity Using Cellular Automata

  • 摘要: 设置路内泊位是解决停车供需不平衡问题的1种重要的措施。然而,不合理的路内泊位设置不仅无法解决停车难的问题,还会降低道路通行能力,导致交通拥堵,从而衍生出一系列交通问题。为进一步从微观层面探究路内停车泊位供求关系以及停车便利性对路段通行能力的影响,构建了1个包括跟驰模型、换道模型和停靠模型的单向双车道元胞自动机模型。在跟驰模型中,通过为停车路段和非停车路段设置不同的慢化概率,探究机动车正常行驶和巡游停靠过程的差异性。在停靠模型中,通过设置停车机动持续时间,解析路内停车便利性对路段通行能力的影响。基于实地调查数据,对模型中正常行驶车辆和巡游停靠车辆的运行规则分别进行了标定,并对模型的可靠性进行了验证。与现有模型的对比分析结果表明,本文模型具有最好的拟合效果,平均绝对误差指标可以降低53.74%~75.71%,能更真实地反应路内停车过程对路段交通流的影响。随着交通流密度的增加,本文模型的平均绝对误差指标可以降低16.39%~52.85%,可以避免过高估计路内泊位对路段通行能力的负面影响,是现有研究的重要补充。在开放边界条件下,分别探究了停车需求、便利性和供给能力变化情景下路段通行能力的变化特征。3种不同场景下路段通行能力均有明显的波动,且停车需求变化的影响最显著。具体地,停车需求由路段交通流量的10%上升至30%时,通行能力下降44.12%;当停车便利性降低,停车机动持续时间由5 s提高到15 s时,通行能力下降24.44%;在500 m的路段上,当停车供给能力由20个停车泊位提高到50个时,通行能力下降39.39%。

     

  • 图  1  单向双车道路内停车模型示意图

    Ld停车  Ld停车带起始位置  Lb巡航停靠车待停入位  Ls停车带终止位置

    Figure  1.  One-way two-lane curb parking model diagram

    图  2  巡游停车过程示意图

    Figure  2.  Schematic diagram of parking and cruising process

    图  3  宁海路路内泊位设置现状

    Figure  3.  Present situation of Ninghai Road in Nanjing

    图  4  不同慢化概率、换道概率下的流量-密度图

    Figure  4.  Flow-density chart under different slowing probabilities and lane changing probabilities

    图  5  不同慢化概率、换道概率下的平均速度绝对误差

    Figure  5.  Absolute error of average speed under different slowing probabilities and lane changing probabilities

    图  6  仿真值与观测值的散点图对比

    Figure  6.  Scatter plot comparison between simulation value and observation value

    图  7  仿真值与观测值的流量-密度分布图

    Figure  7.  Flow-density distribution of simulated and observed values

    图  8  不同停车需求的速度热力图

    Figure  8.  Thermal diagram of speed with different parking demand

    图  9  不同停车需求对道路交通流的影响

    Figure  9.  The impact of different parking demands on road traffic flow

    图  10  不同停车便利性的速度热力图

    Figure  10.  Thermal diagram of speed with different parking convenience

    图  11  不同停车机动持续时间下对道路交通流的影响

    Figure  11.  The impact of different duration of parking maneuvers on road traffic flow

    图  12  不同停车供给能力的速度热力图

    Figure  12.  Thermal diagram of speed with different parking supply capacities

    图  13  不同停车供给能力对道路交通流的影响

    Figure  13.  The impact of different parking supply capacities on road traffic flow

    表  1  通行能力仿真值与观测值的平均绝对误差

    Table  1.   Mean absolute error between simulated and observed road capacity

    密度区间/(veh/km) MAE/%
    本文模型 文献[21]模型 文献[15]模型
    [0, 20] 9.84 11.76 15.93
    (20,40] 4.64 12.32 21.91
    (40,60] 4.76 12.20 26.17
    (60,80] 3.98 18.19 31.66
    平均值 5.81 13.62 23.92
    下载: 导出CSV
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  • 收稿日期:  2023-03-15
  • 网络出版日期:  2023-11-23

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