Subway train operation curve automatic generation and screening method based on virtual big data

The invention relates to the technical field of traffic control, in particular to a subway train speed operation curve automatic generation and screening method based on virtual big data. According to the method, basic data of a subway road section are obtained, planning subintervals, planning speed limit and related parameters are generated according to expert experience, and then train speed operation curves are generated according to the generated planning subintervals and speed limit results in a segmented mode; and then calculation is carried out through comprehensive evaluation indexes such as subway total travel time, passenger comfort, parking precision and punctuality rate, screening analysis is carried out according to data requirements, and finally a reasonable subway train speed operation curve with a good service level is obtained. 本发明涉及交通控制技术领域，尤其涉及一种基于虚拟大数据的地铁列车速度运行曲线自动生成及筛选方法；本发明通过获取地铁路段的基础数据，并根据专家经验，生成规划子区间、规划限速以及相关参数，然后将生成规划子区间、限速的结果分段生成列车速度运行曲线，再通过地铁总行程时间、乘客舒适度、停车精度、准时率等综合评价指标进行计算，并按照数据需求进行