1) passenger capacity
载客量;客运量
2) cargo-passenger capacity
客货载运量
4) passenger carrying capacity
载客数量
5) passenger traffic volume
客运量
1.
Prediction of Passenger Traffic Volume Based on Grnn and Grey Theory;
基于灰色理论与广义回归神经网络的客运量预测模型研究
2.
Forecasting passenger traffic volume is very important for making correct development plan of railway passenger transportation.
预测客运量对正确制定铁路旅客运输发展规划极为重要,由于客运量的变化受多种因素影响,用线性预测方法的结果不准确。
3.
With the rail transit network taking shape gradually,the transfer convenience between rail transit and other transport tools becomes the key element affecting rail transit passenger traffic volume.
随着轨道网络的逐步成型,轨道与其他方式之间的换乘方便程度成为影响轨道客运量规模的关键因素。
6) passenger transport volume
客运量
1.
Two of the factors which influence the passenger transport volume should be analysed and taken into special consideration.
针对传统客运量预测方法存在的不足,在对高速公路客流特性作充分分析的基础上,提出了在影响区内按运输工具划分不同出行方式,给出了各出行方式客流分担率的计算方法和实例。
2.
By means of many kinds of mathematical model,this paper analyses the time-order data of Chinese highway passenger volume from 1987 to 1996,and optimizes the forecasting results with MAPE,then sets off middle period forecast of highway passenger transport volume with the given optimum model.
采用多种数学模型,对我国1987—1996年公路客运量时间序列数据进行分析研究,用平均绝对百分误差(MAPE)择优筛选出的最优模型对本世纪末我国公路客运量进行了预测。
补充资料：客货船
见客船。
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