[1]雷爱国,胡启洲,李慧慧,等.无信号交叉口过街行人与司机演化博弈行为研究[J].南京理工大学学报(自然科学版),2020,44(06):705-714.[doi:10.14177/j.cnki.32-1397n.2020.44.06.010]
　Lei Aiguo,Hu Qizhou,Li Huihui,et al.Evolutionary game behavior between crossing pedestriansand drivers at unsignalized intersections[J].Journal of Nanjing University of Science and Technology,2020,44(06):705-714.[doi:10.14177/j.cnki.32-1397n.2020.44.06.010]
点击复制

无信号交叉口过街行人与司机演化博弈行为研究()
分享到：

《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
44卷
期数:
2020年06期
页码:
705-714
栏目:
出版日期:
2020-12-31

文章信息/Info

Title:
Evolutionary game behavior between crossing pedestriansand drivers at unsignalized intersections
文章编号:
1005-9830(2020)06-0705-10
作者:
雷爱国; 胡启洲; 李慧慧; 林娟娟
南京理工大学 自动化学院,江苏 南京 210094
Author(s):
Lei Aiguo; Hu Qizhou; Li Huihui; Lin Juanjuan
School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China
关键词:
无信号交叉口;  过街行人;  司机;  演化博弈;  人工计数法;  视频计数法
Keywords:
unsignalized intersection;  crossing pedestrians;  drivers;  evolutionary game;  manual counting method;  video counting method
分类号:
U491.1
DOI:
10.14177/j.cnki.32-1397n.2020.44.06.010
摘要:
为了缓解无信号交叉口过街行人和司机冲突,对过街行人和司机进行演化博弈分析,研究了博弈参数对博弈双方过街行为的影响。采用人工计数法和视频计数法,统计所选无信号交叉口过街行人的通过率和司机的礼让率,发现司机礼让率仅为51.96%。根据在斑马线前的等待时间将过街行人心理变化情况分为3个阶段,据此构建每个阶段过街行人与司机的博弈矩阵,对每个阶段的均衡点深入分析。MATLAB仿真表明:过街行人和司机演化博弈行为最终有2个演化稳定状态; 改变博弈参数的值,可以定向调整博弈双方的演化方向,能有效提高无信号交叉口过街行人安全。
Abstract:
In order to alleviate the conflict between pedestrians and drivers at unsignalized intersections,the evolutionary game analysis is carried out to study the influence of game parameters on the crossing behavior of both players. By using the manual counting method and video counting method,the passing proportion of pedestrians crossing the street and the courteous ratio of drivers at the selected unsignalized intersection are counted. It is found that the driver’s comity ratio is only 51.96%. According to the waiting time in front of the zebra crossing,the psychological changes of pedestrians are divided into three stages,and the game matrix between pedestrians and drivers in each stage is constructed,and the equilibrium point of each stage is analyzed in depth. MATLAB simulation shows that the evolutionary game behavior of pedestrians and drivers has two evolutionary stable states; changing the value of game parameters can adjust the evolutionary direction of both sides of the game,and effectively improve the pedestrian safety at unsignalized intersections.

参考文献/References:

[1] 王璐,叶顺强,谢能刚. 基于脏脸博弈模型的人车路口穿越行为研究[J]. 物理学报,2015,64(12):76-86.
Wang Lu,Ye Shunqiang,Xie Nenggang. Research on crossing behavior of human-vehicle intersection based on dirty face game model[J]. Actaphysica Sinica,2015,64(12):76-86.
[2]向红艳,张清泉,范文博. 基于蒙特卡洛模拟的无信号行人过街安全度模型[J]. 交通运输系统工程与信息,2016,16(4):171-177.
Xiang Hongyan,Zhang Qingquan,Fan Wenbo. A safety degree model of pedestrian no-signal crossing walk based on Monte Carlo simulation[J]. Journal of Transportation Systems Engineering and Information Technology,2016,16(4):171-177.
[3]Feliciani C,Crociani L,Gorrini A,et al. Traffic and granular flow’17[M]. Cham,Switzerland:Springer International Publishing,2019:423-431.
[4]Wardrop J G. Some theoretical aspects of road traffic research[J]. Proceedings of the Institution of Civil Engineers,1952,1(3):362-378.
[5]刘光杰,戴跃伟,赵玉鑫,等. 隐写对抗的博弈论建模[J]. 南京理工大学学报,2008,32(2):199-204.
Liu Guangjie,Dai Yuewei,Zhao Yuxin,et al. Modeling steganographic counterwork by game theory[J]. Journal of Nanjing University of Science and Technology,2008,32(2):199-204.
[6]陈洪转,李婷,杨秋,等. 不确定性下的多矩阵博弈模型及求解算法[J]. 南京理工大学学报,2017,41(6):792-796.
Chen Hongzhuan,Li Ting,Yang Qiu,et al. Multi-matrix game model and its solution algorithm under uncertainty[J]. Journal of Nanjing University of Science and Technology,2017,41(6):792-796.
[7]覃鹏,王正,单晓芳,等. 信号交叉口人车通行博弈分析[J]. 华东交通大学学报,2016,33(2):93-99.
Qin Peng,Wang Zheng,Shan Xiaofang,et al. Game analysis of human and vehicle traffic at signal intersections[J]. Journal of East China Jiaotong University,2016,33(2):93-99.
[8]黄选伟,汪晶,张邻. 信号交叉口驾驶员行为博弈分析[J]. 华东交通大学学报,2015,32(4):52-56.
Huang Xuanwei,Wang Jing,Zhang Lin. Behavior game analysis of drivers at signal intersections[J]. Journal of East China Jiaotong University,2015,32(4):52-56.
[9]Brigitte C L,Charles T,Sébastien P,et al. Pedestrian crossing decision-making:A situational and behavioral approach[J]. Safety Science,2009,47(9):1248-1253.
[10]卢守峰,王红茹,刘喜敏. 基于生存分析法的行人过街最大等待时间研究[J]. 交通信息与安全,2009,27(5):69-71.
Lu Shoufeng,Wang Hongru,Liu Ximin. Maximum waiting time for pedestrian crossing based on survival analysis[J]. Journal of Transport Information and Safety,2009,27(5):69-71.
[11]Priyanka P,Sudeshna M. Investigating pedestrian risk factors leading to pedestrian fatalities in Kolkata city roads[EB/OL]. https://link. springer. com/article/10. 1007%2Fs40890-017-0054-9,2020-11-03.
[12]苑红伟,肖贵平. 大城市无信号控制人行横道行人过街延误分析[J]. 中国安全科学学报,2008,18(5):23-27.
Yuan Hongwei,Xiao Guiping. Delay analysis of pedestrians crossing un-signalized crosswalks in big cities[J]. China Safety Science Journal,2008,18(5):23-27.
[13]李明远,郭凤香,费怡. 驾驶员礼让行人等待时间阈值研究[J]. 交通信息与安全,2019,37(4):112-119.
Li Mingyuan,Guo Fengxiang,Fei Yi. Study on waiting time threshold of drivers’comity to pedestrians[J]. Traffic Information and Safety,2019,37(4):112-119.
[14]池利兵,程国柱,李德欢,等. 城市道路路段行人过街信号设置研究[J]. 城市交通,2015,13(1):72-79.
Chi Libing,Cheng Guozhu,Li Dehuan,et al. Setting pedestrian mid-block crossing signals on urban roadway[J]. Urban Transport of China,2015,13(1):72-79.
[15]Friedman D. On economic applications of evolutionary game theory[J]. Journal of Evolutionary Economics,1998,8(1):15-43.
[16]Smith J M. Evolution and the theory of games[J]. American Scientist,1976,64(1):41-45.

备注/Memo

备注/Memo:
收稿日期:2020-09-26 修回日期:2020-10-13
基金项目:国家自然科学基金(51178157); 教育部人文社会科学研究项目(18YJAZH028); 交通运输部公路科学研究所智能交通技术交通运输行业重点实验室开放基金(201908); 江苏省“六大人才高峰”高层次人才项目(JXQC-021); 河南省重点科技攻关项目(182102310004)
作者简介:雷爱国(1995-),男,硕士生,主要研究方向:交通工程安全管理,E-mail:leiaiguo9601@163.com; 通讯作者:胡启洲(1975-),男,博士,副教授,博士生导师,主要研究方向:交通控制、智慧交通,E-mail:qizhouhu@163.com。
引文格式:雷爱国,胡启洲,李慧慧,等. 无信号交叉口过街行人与司机演化博弈行为研究[J]. 南京理工大学学报,2020,44(6):705-714.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2020-12-30