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基于密度熵的道路交通事故影响范围分区模型

刘伟 陈科全 田宗忠 彭博

刘伟, 陈科全, 田宗忠, 彭博. 基于密度熵的道路交通事故影响范围分区模型[J]. 交通运输工程学报, 2019, 19(6): 163-170. doi: 10.19818/j.cnki.1671-1637.2019.06.015
引用本文: 刘伟, 陈科全, 田宗忠, 彭博. 基于密度熵的道路交通事故影响范围分区模型[J]. 交通运输工程学报, 2019, 19(6): 163-170. doi: 10.19818/j.cnki.1671-1637.2019.06.015
LIU Wei, CHEN Ke-quan, TIAN Zong-zhong, PENG Bo. Partition model of road traffic accident influence area based on density entropy[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 163-170. doi: 10.19818/j.cnki.1671-1637.2019.06.015
Citation: LIU Wei, CHEN Ke-quan, TIAN Zong-zhong, PENG Bo. Partition model of road traffic accident influence area based on density entropy[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 163-170. doi: 10.19818/j.cnki.1671-1637.2019.06.015

基于密度熵的道路交通事故影响范围分区模型

doi: 10.19818/j.cnki.1671-1637.2019.06.015
基金项目: 

国家自然科学基金项目 61703064

重庆市社会事业与民生保障科技创新专项项目 cstc2015shms-ztzx30015

城市交通管理集成与优化技术公安部重点实验室开放课题 2017KFKT08

详细信息
    作者简介:

    刘伟(1978-), 男, 重庆人, 重庆交通大学教授, 工学博士, 从事交通组织与信号控制研究

  • 中图分类号: U491.31

Partition model of road traffic accident influence area based on density entropy

More Information
  • 摘要: 考虑路径阻抗的动态变化, 定义了网络初始荷载; 以事故持续时间为变量, 采用前景理论确定了网络负载重分配的方式; 根据交通流密度熵构建了耗散结构模型, 并与负载分配过程相结合确定了各路段的交通流密度熵变化率; 构建了基于聚类分析的交通事故影响范围分区模型, 通过仿真试验探讨了不同初始荷载和事故持续时间对分区的影响。仿真结果表明: 在交通量基数为800 pcu·h-1时, 事故持续时间从20 min增加到30 min, 直接影响区有向路段由3个增加到6个, 间接影响区有向路段由5个增加到18个, 说明受事故影响路段的熵处于快速上升阶段, 路网的级联失效不明显; 随着交通量基数增加到1 000 pcu·h-1, 事故持续时间从20 min增加到30 min, 直接影响区有向路段由8个增加到19个, 间接影响区有向路段由16个增加到21个, 说明交通量对路网的影响主要集中在直接影响区。可见, 不同交通情况下, 各有向路段受到事故路段的影响程度明显不同, 随着事故持续时间与初始流量的加剧, 路网中有向路段的受影响程度均增大, 因此, 采用交通事故影响范围分区能够精细地描述道路运行状态的动态变化过程。

     

  • 图  1  实际路网结构

    Figure  1.  Structure of real road network

    图  2  不同K下各有向路段初始荷载

    Figure  2.  Initial loads of each directed road section under different values of K

    图  3  路径改变概率

    Figure  3.  Probabilities of path change

    图  4  各路段交通流密度熵变化率

    Figure  4.  Traffic flow density entropy rates of each directed road section

    图  5  两种事故持续时间下的误差平方和

    Figure  5.  SSEs of two durations of accident

    图  6  事故影响范围分区

    Figure  6.  Partition of accident influence area

    表  1  直接影响区有向路段数量

    Table  1.   Numbers of directed road sections for direct impact area

    T/min K/(pcu·h-1)
    800 1 000
    20 3 8
    30 6 19
    下载: 导出CSV

    表  2  间接影响区有向路段数量

    Table  2.   Numbers of directed road sections for indirect impact area

    T/min K/(pcu·h-1)
    800 1 000
    20 5 16
    30 18 21
    下载: 导出CSV

    表  3  各分区内有向路段

    Table  3.   Directed road sections of each partition

    分区编号 有向路段编号
    3 a23+a24-a25+a25-a26+a27-a28+a28-a29+a30+a31+a31-a32+a32-a33+a38+a45+a46+a51-
    2 a5-a10+a11+a11-a12+a13+a17+a17-a18-a19+a23-a24+a26-a27+a34+a39+a41-a42+a47+a48-a49+
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    下载: 导出CSV
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  • 收稿日期:  2019-05-26
  • 刊出日期:  2019-12-25

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