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公交站台区域电动自行车与行人通行冲突演化博弈模型

周旦 姚威振 顾国斌 胡清玮

周旦, 姚威振, 顾国斌, 胡清玮. 公交站台区域电动自行车与行人通行冲突演化博弈模型[J]. 交通信息与安全, 2021, 39(5): 27-35. doi: 10.3963/j.jssn.1674-4861.2021.05.004
引用本文: 周旦, 姚威振, 顾国斌, 胡清玮. 公交站台区域电动自行车与行人通行冲突演化博弈模型[J]. 交通信息与安全, 2021, 39(5): 27-35. doi: 10.3963/j.jssn.1674-4861.2021.05.004
ZHOU Dan, YAO Weizhen, GU Guobin, HU Qingwei. An Evolutionary Game Model of Traffic Conflict Between Electric Bicycles and Pedestrians in Bus Stop Areas[J]. Journal of Transport Information and Safety, 2021, 39(5): 27-35. doi: 10.3963/j.jssn.1674-4861.2021.05.004
Citation: ZHOU Dan, YAO Weizhen, GU Guobin, HU Qingwei. An Evolutionary Game Model of Traffic Conflict Between Electric Bicycles and Pedestrians in Bus Stop Areas[J]. Journal of Transport Information and Safety, 2021, 39(5): 27-35. doi: 10.3963/j.jssn.1674-4861.2021.05.004

公交站台区域电动自行车与行人通行冲突演化博弈模型

doi: 10.3963/j.jssn.1674-4861.2021.05.004
基金项目: 

国家自然科学基金项目 71861005

国家自然科学基金项目 61803113

详细信息
    通讯作者:

    周旦(1978—),博士,副教授.研究方向: 混合交通流和道路交通控制. E-mail: 8697992@qq.com

  • 中图分类号: U491.2+65

An Evolutionary Game Model of Traffic Conflict Between Electric Bicycles and Pedestrians in Bus Stop Areas

  • 摘要:

    为探究公交站台区域进出站台行人与电动自行车发生冲突时,双方的通行策略选择机制,建立行人与电动自行车通行时间延误模型,分析2类出行者选择是否通行或穿越策略的时间收益,利用复制动态方程刻画2类出行者通行策略的博弈学习行为,建立该区域2类出行者之间的冲突演化博弈模型,结合稳定性分析可以得到该区域2类出行者发生冲突时的稳定通行选择策略。利用桂林市6个公交站台区域的实测数据对演化博弈模型进行实证分析,结果表明:选择“通行”策略的行人群体比例越大,其过街安全感越高;发生冲突时,电动自行车做出决策的时间较行人更短,且2类出行者分别做出“通行”或“穿越”的决策时间短于做出“等待”或“减速”的决策时间,电动自行车平均用时减少约23%,行人平均用时减少约24%。

     

  • 图  1  行人等待过街示意图

    Figure  1.  Pedestrians waiting to cross the street

    图  2  电动自行车减速示意图

    Figure  2.  Electric bicycle deceleration

    图  3  行人和电动自行车的演化过程示意图

    Figure  3.  Schematic diagram of the evolution process of pedestrians and electric bicycles

    图  4  检测区域设置示意图

    Figure  4.  Schematic diagram of detection area setting

    图  5  公交站区域的行人与电动自行车选择策略演化

    Figure  5.  Evolutionary selection strategies of pedestrians and electric bicycles in bus stop areas

    图  6  电动自行车选择策略演化

    Figure  6.  Evolutionary selection strategy of electric bicycles

    图  7  行人选择策略演化

    Figure  7.  Evolutionary selection strategies of pedestrians

    表  1  过街行人和电动自行车收益矩阵

    Table  1.   Income matrix for pedestrians and electric bicycles

    行人 电动自行车
    穿越 减速
    通行 (-tr,-tr - D) (D, 0)
    等待 (0, T) (0, 0)
    下载: 导出CSV

    表  2  均衡点稳定性分析

    Table  2.   Stability analysis of equilibrium points

    均衡点(p, q) det (J) tr (J) 结果
    (0, 0) TD T+D 不稳疋
    (0, 1) (tr + D) D -(tr + 2D) ESS
    (1, 0) trT -T - tr ESS
    (1, 1) (tr + D) tr D + 2tr 不稳疋
    p*, q* 0 0 鞍点
    下载: 导出CSV

    表  3  电动车流速度-密度拟合函数

    Table  3.   Velocity density fitting function of the electric bicycle flow

    地点 速度-密度关系 拟合优度
    甲天下广场站 v=-11.82k+6.514 0.951
    东环市场站 v = -11.63k + 6.668 0.946
    七星路五里店站 v =-14.07k+8.218 0.857
    穿山中路站 v =-13.25k+7.632 0.915
    南门桥南站 v =- 13.35k + 6.881 0.897
    乐群路站 v =-11.25k + 6.605 0.891
    下载: 导出CSV

    表  4  电动自行车和行人过街参数

    Table  4.   Traffic parameters of electric bicycles and pedestrians

    地点 电动车到达量/ (veh/h) 行人平均过街时间/s 判断时间tr/s
    甲天下广场站 2 232 4.17 2
    东环市场站 1 780 4.25 2
    七星路五里店站 1 116 4.38 2
    穿山中路站 1 925 4.23 2
    南门桥南站 2 584 4.04 2
    乐群路口站 2 134 4.07 2
    下载: 导出CSV

    表  5  电动自行车和行人的演化结果

    Table  5.   Evolution of electric bikes and pedestrians

    地点 电动午初始规1模 行人演化到“通行”的初始规模临界值 电动车演化到稳定时间/s 行人演化到稳定时间/s
    穿越 减速 通行 等待
    甲天下广场站 0.8 0.58 1.5 2.5 2.5 3.1
    东环市场站 0.43 1.7 2.3 2.1 3.0
    七星路五路店站 0.38 2.3 2.6 2.6 3.2
    穿山中路站 0.54 1.7 2.5 2.5 3.0
    南门桥南站 0.69 2.1 2.4 2.5 3.5
    乐群路口站 0.55 2.1 2.3 2.4 3.3
    下载: 导出CSV
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  • 收稿日期:  2021-04-30

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