摘要
针对既有线曲线整正现有计算中由于对线路曲线线形参数初始值(即设计圆曲线半径和缓和曲线长度)要求高而导致线路设计圆曲线半径和缓和曲线长度识别过程复杂的问题,将粒子群算法(PSO)应用于拨距计算中线形参数的计算,并考虑控制点拨距的限制和线形参数的整数化要求,提出基于改进PSO的既有线曲线整正方法。应用该方法对多组既有线曲线进行整正计算,结果表明:该方法能够满足既有线曲线整正工程对线路设计圆曲线半径和缓和曲线长度整数化和控制点拨距受限的要求;测点拨距绝对值之和及各测点拨距平方和均可作为拨距计算中的优化目标函数;由于算法对线形参数初始值的要求不高,所以大大简化了线形参数的识别过程。
In view that the high demand for initial alignment parameters （i.e.the radius of circular curve and the length of transition curve） which results in a complex identification for them in the present shift distance calculation method for existing curve,a curve realignment method based on particle swarm optimization （PSO） algorithm is presented to calculate the alignment parameters in the shift distance calculation involving the limitation of control-point and the requirement for integer alignment parameters.Realignment calculation is carried out for multi-group of existing curves by this method.The results show that the method can gain integer alignment parameters and meet the shift distance limitation demand of controlpoint.Both the square sum and absolute value sum of the shift distances may be used as optimization objective function in shift distance calculation.Besides,this method has greatly simplified the identification process for alignment parameters due to its low demand for initial parameters.
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
2014年第3期8-14,共7页
China Railway Science
基金
国家"九七三"计划项目(2013CB036004)
湖南省自然科学基金资助项目(12JJ3040)
关键词
铁路
既有线
曲线整正
粒子群算法
拨距
线形参数
Railway
Existing railway
Curve realignment
Particle swarm optimization
Shift distance
Alignment parameter
