基于客运大数据平台的铁路客流预测系统

客流预测是铁路路网规划、线路及场站设计、铁路运营等工作的重要基础.针对多层面、不同类型、不同时期的铁路客流预测业务需求,依托铁路客运大数据平台,构建铁路客流预测系统,能够在同一系统平台上完成客流预测方案的测试、评价和规范化应用.该系统集成各类客流预测算法模型,可充分利用历史售票数据,并考虑年度、季节、星期、时间、节假日...

Railway passenger flow forecast system based on passenger transport big data platform

Passenger flow forecast is an important basis for railway network planning, railway line and station design, railway operation and so on. In view of different types of railway passenger flow prediction business needs at multi levels of railway enterprise in different periods of time, the railway passenger flow prediction system is built relying on the railway passenger transport big data platform, which can complete the test, evaluation and standardized application of passenger flow forecast schemes on the same platform. The system can integrate various passenger flow prediction algorithms and models and make full use of historical ticket sales data and consider annual, seasonal, week, time, weather, holidays, major events and other kinds of influence factors to provide passenger flow prediction functions for different business needs with different granularity and in different periods of time. Besides, this system can support two application modes of human-computer interaction prediction and timing batch offline prediction and provide customized passenger flow forecast data for passenger transport business analysts, and provide accurate and reliable decision-making basis for passenger transport business such as intelligent pre-allocation of ticket amount and preparation of train operation scheme.