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 sufficiently accurate,which affects the safety and effectiveness 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 efficient train operation under various trackside conditions.
braking performancespeed and distance monitoring curvetrackside databraking deceleration
维普
万方数据
