轨道交通大数据运用现状及发展趋势研究

为了确保大数据在轨道交通领域规范运用、良性发展，在总结大数据基本概念的基础上，系统梳理轨道交通行业内大数据的基本特点、数据类型、主要内容、处理流程及关键技术，并选择其中的某个典型专业，总结轨道交通大数据在统计分析、应急辅助决策、乘客出行诱导、客流预测和调度管理等方面的运用现状。最后，阐述大数据在轨道交通应用方面的挑战，从轨道交通数据系统内部和外部两个方面提出轨道交通大数据应用的发展趋势。

State-of-the-Art and Trend Analysis of Big Data Application in Rail Transit

The application of big data in rail transit is now in the ascendant. In order to ensure the big data application in rail transit is normative utilized and benign developed, this paper firstly summarizes the basic concept of big data, and then it systematically analyses the characteristics, data types, major elements, processing flow and key technologies of big data in the rail transit industry. Taking a typical major in the rail transit as an example, the current application cases related to big data in rail transit are reviewed extensively, such as statistical analysis, emergency decision making, passengers trip guidance, passenger flow forecasting and rescheduling. At last, it demonstrates the challenges of big data application in rail transit, putting forward the development trends of big data in the field of rail transit from the aspects of the internal and external sources.