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Revenue Model for the Inter-City Railway System Based on the Stop Stations and Graded Ticket Fares

机译：基于车站和分级票价的城际铁路系统收益模型

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摘要

With respect to the maximum revenue for the inter-city railway passenger transportation channel system with different grades of parallel trains, this paper has studied the matching relations between the system revenue and the passenger flow demand under confirmed demand conditions, analyzed the behavior selection process of passengers for trains with different speed grades within the channel, confirmed the passenger train flow transformation equation based on Logit sharing rate model as well as the collaborative optimization of stop stations and graded ticket fares, established the maximum revenue model of the system, and designed the hybrid particle swarm harmony search algorithm to solve the model. Besides, the new solution comparative law for the algorithm has also been formulated, which can improve the occurring probability of excellent solutions. Finally, verification has been made by taking Zhengzhou-Xi'an Railway Passenger Transportation Channel as an example, which has showed the effectiveness of the model and the algorithm, and the research results have showed that the redistribution of passenger flow realized through the stop stations and graded ticket fare policy can better improve the maximum revenue of the system.
机译：针对不同等级平行列车的城际铁路客运通道系统的最大收益，研究了确定需求条件下系统收益与客流需求的匹配关系，分析了行为选择过程。通道内具有不同速度等级的列车的乘客，确认了基于Logit共享率模型以及停靠站和分级票价的协同优化的旅客列车流量转换方程，建立了系统的最大收益模型，并设计了混合粒子群和声搜索算法求解模型。此外，还制定了该算法的新解比较法则，可以提高优良解的出现概率。最后，以郑西铁路客运通道为例进行了验证，表明了模型和算法的有效性，研究结果表明，通过车站实现的客流再分配分级票价政策可以更好地提高系统的最大收益。

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