基于模态识别的高速铁路列车票额预分优化研究

票额预分是高速铁路列车票额现代化管理的重要技术手段,为客运组织实现挖潜提效、精细化管理起到关键作用,但长期存在过度裂解或过度保护的问题,导致高速铁路列车区段运输能力存在虚糜现象。通过分析高速铁路列车票额预分现状,从接续预分、模态内聚预分和复合模态预分顺序优化等方面,构建基于客流模态识别的高速铁路列车票额预分优化模型,以北京西—成都东的G571次高速铁路列车票额预分为例,研究结果表明基于模态识别的高速铁路列车票额预分能够更好地实现存量票额在始发站和沿途站的科学预分,有效提升高速铁路列车客座率和收入水平。

Research on Optimization of High-Speed Train Ticket Pre-assignment Based on Modal Identification

As one of the important means for ticket sales organization of high-speed railway, ticket pre-assignment plays a key role in realizing potential tapping, efficiency improvement and refined management for passenger transportation organization. However, the problem of over splitting or over protection exists for a long time, which leads to the phenomenon of empty transportation capacity of train sections. This paper analyses the current status of high-speed train ticket pre-assignment, constructs an optimization model of high-speed railway ticket pre-segmentation based on passenger flow modal recognition in terms of continuation pre-segmentation, modal cohesion pre-segmentation and compound modal pre-segmentation sequence optimization, and takes the G571 high-speed railway train ticket pre-division from Beijing West to Chengdu East as an example. The research results show that the high-speed railway train ticket pre-assignment based on modal recognition can better realize the scientific pre-assignment of the stock tickets at the departure station and the stations along the way, and effectively improve the passenger occupancy rate and revenue of high-speed trains.