高速铁路双准则客流分配方法研究

Research on Bi-criteria Passenger Flow Assignment of High Speed Railways

在考虑高速铁路旅客个性化乘车选择行为基础上,针对票价优化研究高速铁路双准则客流分配方法。基于高速列车运行图构建列车服务网络,在分析多层次客流选择行为基础上,提出服务网络的路径广义成本计算方法。引入旅客时间价值变量,建立时间-费用双准则客流分配模型,允许旅客在时间和票价2个择路原则之间做出偏向性选择,采用改进的基于迭代加权法(MSA)的蒙特卡罗模拟算法进行客流分配。以京沪高速铁路实际客票数据对模型和算法进行验证,结果表明,研究提出的双准则客流分配方法可以较好地反映特定票价下客流的分布情况。

Considering the personalized itinerary choice of high speed railway passengers, this paper studied the bi-criteria passenger flow assignment of high speed railways for fare optimization. A train service network was built, which was based on the high speed train diagram. Multi-level passengers’ itinerary choice was analyzed to propose a calculation method of generalized cost for the network path. A random variable indicating the value-of-time of passengers was introduced to create a time-fare bi-criteria passenger flow assignment model that allowed the passengers to choose itineraries based on their preferences for time and fare. This paper designed an improved Monte Carlo method based on the method of successive average for passenger flow assignment. The actual ticket data of the Beijing–Shanghai High Speed Railway was used to verify the proposed model and the algorithm. The results show that the proposed assignment method can reveal the passenger flow distribution at certain fares.