该研究为机场客运量预测提供了一种方法，可供借鉴。
准确的客运量预测结果是进行交通规划与管理的主要依据之一。
Accurate consequence of passenger traffic volume prediction is one of major basises for traffic planning.
交通系统公路客运量预测不仅具有模糊性和动态性等特点，而且受多个因素影响。
The forecast of passenger capacity is not only obscure and dynamic in transportation system, but also influenced by several factors.
提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。
A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).
客运量预测是衡量建设项目经济成本、预测建设项目投入运营后经济效益的关键性指标。
Passenger volume forecast is a key indicator to weigh the basic project economic cost and economic benefit after a project puts into service.
其次，本文在借鉴国内外客运专线客运量预测方法的基础上，构建基于广义费用的客运专线需求预测方法。
Secondly, it proposed a passenger demand forecast method of PDL based on generalized cost after introducing high-speed railway passenger traffic forecasting methods with both domestic and abroad.
从理论上深入研究轨道交通网络客流分配状况，有助于准确地把握网络客流规律，提高轨道交通运营管理水平，同时也为线网客运量预测和线路间票价清算等研究提供参考和依据。
The study of passenger flow assignment could not only help to improve the operation of URT, but also helps to forecast the passenger flow and study the problem of transit fare clearing.
通过建立株洲站旅客发送量的灰色预测模型，说明利用灰色模型预测铁路客运量具有良好的精度，可以为客流组织提供依据。
The establishment of grey forecast model in Zhuzhou Station has shown better accuracy while forecasting the passenger volume and thus offered reference for passenger flow organization.
通过建立株洲站旅客发送量的灰色预测模型，说明利用灰色模型预测铁路客运量具有良好的精度，可以为客流组织提供依据。
The establishment of grey forecast model in Zhuzhou Station has shown better accuracy while forecasting the passenger volume and thus offered reference for passenger flow organ.
在分析铁路客票数据特征的基础上，提出采用分段模糊BP神经网络对铁路客运量进行数据挖掘预测。
The segment fuzzy BP Neural Network is adopted to predict the passenger traffic volume of railways in data mining based on analyzing the data feature of railway passenger tickets.
该文通过对珲春边境合作区的经济状况及客运量、货运量增长率的分析，对该地区的交通量预测方法进行了详细介绍。
Through the analysis of the economical status, and the increasing rates of the passenger transport and the freight, the article introduces the traffic forecast method of this area in detail.
依此模型对山东省道路客运量及客运周转量进行了中短期预测。
According to this model, this paper presents the middle and short term prediction for the road passenger transport quantity and passenger turnover quantity in Shandong province.
提出采用双线性模型预测公路客运量。
The article puts forth to use the double -linear model to forecast the highway passenger capacity.
在运用QD软件分析现状客流出行特征，同时利用FRATAR软件进行客运量合理预测。
The characters of current passenger travel were analyzed by using QD software, and the passenger capacity was reasonably predicted by using FRATAR software at the same time.
本文就是探索如何更好的使用数据挖掘的相关技术对铁路普通线路客运量进行预测。
The paper's purpose is how to use data mining tools to forecast traffic volume effectively.
公路客运量的预测对于公路客运的管理和决策具有重要意义。
The prediction of highway transit passenger volumes is of great importance to the traffic management and decision_making.
把1975到2006年全国的客运量数据和其他相关指标作为学习样本，验证寻优参数得到训练模型预测结果的可靠性。
Taking the 1975-2006 National passenger traffic data and other related indicators as a learning sample, then verify the validity of the training model after Parameter Optimization.
在此基础上对我国2010年各月份的客运量进行了科学预测。
On this basis, we conduct a scientific prediction for the volume of passenger traffic of each month in 2010.
本文根据影响机场客流量的主要因素——GDP为主要条件，采用计量模型预测对首都机场未来五年客运量进行了预测分析。
In this article, GDP which is the main influence factor is incorporated in the econometric model and grey predication of the passenger throughput in future 5 years of capital airport.
本文根据影响机场客流量的主要因素——GDP为主要条件，采用计量模型预测对首都机场未来五年客运量进行了预测分析。
In this article, GDP which is the main influence factor is incorporated in the econometric model and grey predication of the passenger throughput in future 5 years of capital airport.
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