一种优化分段式控车曲线的方法

Optimization Method for Segmented Speed and Distance Monitoring Curve

现有的车载分段式控车曲线是在UIC544-1标准的基础上,由车辆的制动性能(分段制动速度和制动减速度)构建的制动减速度模型生成的。这样的分段式控车曲线由于没有充分考虑外部环境对车辆制动性能的影响,导致计算出的控车曲线也不够精准,从而降低列车运行的安全性和有效性。为解决上述问题,通过对分段式控车曲线进行研究,提出一种优化方法。该方法将多种线路数据(如坡度、黏着等)与车辆制动数据相融合,生成更为精准的分段式控车曲线,确保列车在各种线路条件上更加安全高效的运行。

The existing segmented speed and distance monitoring curve is generated on the basis of the UIC544-1 standard,and by means of a braking deceleration model based on the vehicle braking performance(segmented braking speed and braking deceleration).As the impacts of external environment on vehicle braking performance are not fully considered,the resulting segmented speed and distance monitoring curve is not suffi ciently accurate,which aff ects the safety and eff ectiveness of train operation.To solve the above problem,this paper studies the existing segmented speed and distance monitoring curve,and on this basis,proposes an optimization method.The proposed method combines multiple types of trackside data(such as gradient and adhesion data)with vehicle braking data,to generate more accurate segmented speed and distance monitoring curves,and ensure safer and more effi cient train operation under various trackside conditions.