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Game Model of Taxi Service Pricing Based on Deregulation

机译：基于放松管制的出租车服务定价博弈模型

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This thesis, based on the characteristics of the taxi industry, to investigate the game model of pricing the taxi industry in relax regulation conditions. By analyzing the relationship, establish in Stackelberg bi-level programming model. Among them, the upper programming for the maximization of social welfare, lower planning is to maximize the interests of Taxi Company. The model considered the taxi operation of actual loading mileage. Considering the solving of bi-level programming model is complex, this Article uses genetic algorithm to solve the upper limit value after relax regulation Then combining case, the pricing game model is studied. The calculation shows that the model can effectively respond to the pricing process. At the same time, the algorithms can effective computational models.
机译：本文基于出租车行业的特点，研究了放松管制条件下出租车行业的定价博弈模型。通过分析关系，在Stackelberg中建立双层编程模型。其中，上层规划为最大的社会福利，下层规划为最大化出租车公司的利益。该模型考虑了滑行操作的实际装载里程。考虑到双层规划模型求解的复杂性，本文采用遗传算法求解松弛调节后的上限值，然后结合实例研究了定价博弈模型。计算表明，该模型可以有效地响应定价过程。同时，这些算法可以有效地建立计算模型。

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