摘要
为减少人工工作量,提高票额分配的智能程度,实现席位的高效利用和趟车效益的最大化,研究提出铁路大站票额预分预测模型。结合票额管理实践,将差值作为时间序列,将发到站城市的GDP增长率、客座率和实际定员纳入模型中,根据历史客流数据,在保证始发站和重点区间票额下,预先将部分票额分配给有稳定客流的大型车站,以满足票额预分对精确度、实用性等的要求。
In order to reduce labour workload, increase the intelligent level of ticket assignment and realize high-efficient utilization of seats and maximum benefits of the train, this paper puts forward a model to realize intelligent ticket pre-assignment. Combining with the practice of ticket management, the difference value is taken as the time series, the GDP growth rate of the cities with departure-arrival station, the seating rate and actual seating capacity are introduced into the model, and according to historical passenger flow data, ticket pre-assignment is provided to the large station which has stable passenger flow under the condition of ensuring the tickets of departure-arrival stations and key sections, so as to satisfy the requirements on the precision and practicability of ticket pre-assignment.
出处
《铁道运输与经济》
北大核心
2017年第6期27-31,共5页
Railway Transport and Economy
基金
中国铁路总公司科技研究开发计划课题(2016X005-A)
关键词
铁路
客流预测
票额预分
大站预测
大数据技术
Railway
Forecast of Passenger Flow
Ticket Pre-assignment
Forecast of Large Station
Big Data Technology
