引用本文:刘俊怡,杨辉,杨光惠.城市交通环境治理问题的演化博弈分析(J/M/D/N,J:杂志,M:书,D:论文,N:报纸).期刊名称,2021,38(5):42-48
CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435
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城市交通环境治理问题的演化博弈分析
刘俊怡,杨辉,杨光惠
贵州大学 数学与统计学院,贵阳 550025
摘要:
为了对城市交通环境的治理工作提出合理性建议,研究在城市交通中运管、黑车和出行居民3个群体之间的博弈关系,利用群体博弈、演化博弈的相关理论,分析三博弈方的决策在城市交通环境治理中的演化过程,刻画出博弈问题的演化稳定策略,并选用三组代表性数据利用MATLAB软件对演化稳定策略的路径进行仿真模拟,验证了演化稳定策略的存在性;研究结果表明:在城市交通环境治理中,运管部门的监管起到了明显的主导作用,但仅依靠运管的监管并不能使各博弈方都采取参与治理的策略,还需通过建立、健全各项黑车查处的相关制度,加大对违法运营黑车的惩罚力度以及加重对坐黑车居民的警告与惩罚。
关键词:  城市交通  三群体  演化博弈
DOI:
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基金项目:
Evolutionary Game Analysis of Urban Traffic Environment Governance
LIU Jun-yi,YANG Hui,YANG Guang-hui
School of Mathematics and Statistics,Guizhou University,Guiyang 550025,China
Abstract:
In order to put forward reasonable suggestions for the governance of urban traffic environment, this paper studies the game relationship among transportation management, illegal vehicles and travel residents in urban traffic. Based on the theories of group game and evolutionary game, this paper analyzes the evolution process of the decision-making of the three players in urban traffic environment governance, and depicts the evolutionary stability strategy of game problems. Three groups of representative data are selected to simulate the path of evolutionary stability strategy using MATLAB software, which verifies the existence of evolutionary stability strategy. The results show that the supervision of transportation management department plays an obvious leading role in urban traffic environment governance. However, only relying on the supervision of transportation management can not make all the players adopt the strategy of participating in the governance. It is also necessary to establish and improve the relevant systems for the investigation and punishment of illegal vehicles. We should increase the punishment for illegal operation of illegal vehicles, and increase the warning and punishment for residents who take illegal cars.
Key words:  urban traffic  three groups  evolutionary game
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