1) the coefficient of transfer
换乘系数
1.
A new method of ascertaining the O-D(Origin-Destination) of public transit was proposed——Utilizing the coefficient of transfer and the volume of passengers who go aboard or get off on the public transit station to.
为了提高推算公交出行O-D(Origin-Destination)量的精确性,研究利用换乘系数结合公交站点上下车客流量计算公交出行O-D量的方法。
2) passenger car equivalent
乘用车换算系数
3) multiply transformation
数乘变换
1.
The variation of parameters before and after multiply transformation on original sequence is studied.
研究了该估计方法下对原始序列进行数乘变换后参数的变化特征。
2.
This paper studies the parameters and ill-conditioned problem of GM(2,1)model in oil water well control based on multiply transformation on original sequence.
研究了原始序列的数乘变换对油水井控制中 GM( 2 ,1 )模型参数和病态性的影响问题 ,建立了数乘变换值分别与 GM( 2 ,1 )模型系数矩阵条件数、模型参数间的量化关系式 ,得到了 GM( 2 ,1 )优化模型完全适用于负数据序列建模、原始序列的初值化或均值化等处理不会影响系统的预测精度和误差、选择适当的数乘变换可降低模型的病态性等重要结
3.
This paper proposes a new method to estimate the parameters of GM models,such as GM(1,1),GM(1,N), at the same time,the change of parameters before and after multiply transformation on original sequence are studied.
本文提出了一种新的基于奇异值分解的 GM(1,1),GM(1,N)等灰色模型参数估计方法,并研究了该估计方法下对原始序列进行数乘变换后参数的变化特征。
4) transfer times
换乘次数
1.
Considering passengers travel psychoanalysis,the public traffic model of optimum route is proposed,which goal is minimal transfer times.
结合乘客出行心理分析,提出以换乘次数最少为目标的公交乘车模型。
2.
The paper presents two optimal trip path mod-els of bus passengers,aiming to the leas"ttransfer times" and the shortes"ttrip time"respectively,thus gets different optimal trip paths for bus passengers to choose their suitable trip paths.
分别以"换乘次数"最少和"出行时间"最短为优化目标,提出2个公交乘客出行路径优化模型,得到不同的最优线路,供公交乘客选择适合自身的出行路线,并以1个简单的公交网络对模型进行了验算。
5) multiple transformation
数乘变换
1.
In order to improve the prediction accuracy,firstly GM(2,1) has been improved with the linear combination of the forward and backward difference scheme,where the parameter λ has been used to correct the background value;secondly the parameter ρ was used for a multiple transformation on the initial data,a new GM(2,1,λ,ρ) has been constructed in this paper.
为了提高灰色GM(2,1)模型的预测精度,本文首先对灰色GM(2,1)模型的向前、向后差分进行线性组合出灰色GM(2,1,λ)模型,利用参数λ修正背景值;然后引入参数ρ对原始数列进行数乘变换,进一步将模型拓展为灰色GM(2,1,λ,ρ)模型。
2.
Then the morbidity problem in the accumulating method GM(0,N) model by a multiple transformation on the initial data is resolved,a new healthier model is obtained and it is verified that the transformation doesn t affect the development parameter of the model and the precision of the system.
利用数乘变换解决了该方法在参数估计中的严重病态性问题,证明数乘变换不改变模型的发展系数及精度。
3.
Based on this conclusion we researched the affections multiple transformation caused to discrete grey model of multi-variables.
在此基础上研究了数乘变换对其参数取值的影响,结果表明模型的模拟和预测值只与因变量的数乘变换有关,而与自变量的变换无关,模型的相对误差与所有变量的数乘变换都无关,这些结果对灰色模型系列性研究有重要意义。
6) transfer time
换乘次数
1.
In this paper,a model of optimum route with the minimal transfer times as primary goal and the minimal stops or the least payment as second goal was built.
针对北京公交网络换乘问题构造了公共交通网络的数学模型,建立了以最小换乘次数为第一目标,最小途经站数为第二目标或最低费用为第二目标的公交出行最优路径模型。
2.
I learn that minimum transfer times are the most powerful motive for a transit trip.
通过对公交乘客出行心理调查的统计结果,可以了解换乘次数最少是乘客考虑的首要优先目标,其次是出行耗时最少和出行距离最短。
3.
A mathematic model of optimum route with minimal transfer times as primary goal and the minimal stops as the second goal was built in the paper.
建立了以最小换乘次数为第一目标,最小途经站点为第二目标的公交出行最优路径模型。
补充资料：乘客平均换乘系数
衡量乘客直达程度的指标，其值为乘车出行人次与换乘人次之和除以乘车出行人次。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条