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基于蚁群算法的多维Stackelberg博弈配流研究 被引量:1

Multidimensional Stackelberg Game Assignment Based on Ant Colony Algorithm
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摘要 根据Stackelberg博弈对道路公交系统与城市轨道交通进行交通流分配,并建立Nash均衡。假设路网上有多个OD(起止点)对,通过Wardrop均衡准则证明每个OD间出行的用户是同质的。据此假设建立道路公交路径与城市轨道交通路径的j维混合策略Stackelberg-Nash均衡博弈模型。采用改进的蚁群算法对出行用户的均衡过程进行模拟。结果表明,改进的蚁群算法合理地仿真了Stackelberg博弈的均衡过程。 To discuss the network traffic flow in urban bus system and the distribution of urban rail transit, Stackelberg Game is used for traffic distribution study and the Nash equilibriumis established. According to an assumption, there aremultipleOD (origin of departure) on road network, based on the Wardrop equilibrium standards, the trip users of each OD is proved to be homogeneous. Thus, a mixed strategy Stackelberg-Nash equilibrium game model for bus route and rail transit route is established. Then, with an im- proved ant colony algorithm for travelers, the process of e- quilibrium is simulated. The numerical results show that the improved ant colony simulates the matchup Stackelberg Game equilibrium process very reasonably.
作者 艾毅 李宗平
出处 《城市轨道交通研究》 北大核心 2014年第1期95-98,共4页 Urban Mass Transit
关键词 道路公交 城市轨道交通 交通流分配 STACKELBERG博弈 改进蚁群算法 urban traffic urban rail transit traffic flowdistribution Stackelberg game improved ant colony algo-rithm
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参考文献6

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