大数据时代高速铁路交通决策系统研究

Research on High Speed Railway Traffic Decision System in Big Data Era

为了更全面地分析高速铁路交通客流信息和提高安全管理水平,进行科学合理的决策,将大数据分析算法运用于构建交通决策系统中.首先,研究了交通决策系统的大数据属性偏序约简模型;其次,设计了高速铁路交通决策系统大数据分析算法流程;最后,以某市高铁火车站为例进行了仿真分析,仿真结果表明利用该算法可以提出科学的决策,能够促进高速铁路交通的快速发展.

In order to make a comprehensive analysis of the traffic information of the high speed railway traffic and improve the level of its safety management, a scientific and reasonable decision is made, and the big data analysis algorithm is used in the construction of the traffic decision system. First, the big data attribute partial reduction model of traffic decision system is studied. Secondly, the big data analysis algorithm flow of the high speed railway traffic decision system is designed. Finally, the simulation analysis is carried out with the railway station high speed railway in a city as an example. The simulation results show that the scientific decision can be put forward by the design method and can promote the rapid development of high speed railway traffic.