Therefore research of telephone traffic forecasting is necessary.
因此，话务量预测的研究是非常必要的。
The study has practical significance, and the proposed method has some reference for the intercity expressway traffic forecasting.
本文的研究具有现实意义，所提出的方法对城际高速公路交通量预测工作具有一定的借鉴作用。
There are lots of difference between new blocks and constructed blcoks. How to dif-femtiate the difference is a problem in traffic forecasting.
新城区与建成区在交通特性上有很大的差异，交通总体需求预测过程中一个难题是如何量化分析这一差异。
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.
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。
One vision is a real-time simulation, fed by masses of data, that would operate rather like the traffic-forecasting models now used in Dallas and in the North Rhine-Westphalia region of Germany.
一种是需要经济运行的实时模拟，由庞大的数据库支持，运行很像目前在达拉斯市和德国北莱茵-威斯特法利亚地区所使用的交通预报模型。
Traffic flow forecasting is one kernel study in Intelligent Transportation System and a research focus in traffic engineering field.
短时交通量预测是智能运输系统的核心研究内容之一，已成为交通工程领域重点研究课题。
Accurate short-term traffic flow forecasting is becoming a crucial step in its research, especially, for its Advanced traffic Management System and Advanced Traveler Information System research.
及时准确地进行交通流短时预测是智能交通系统，尤其是其先进的交通管理系统与先进的出行者信息系统研究的关键内容之一。
Parking demand forecasting and management are both emphasis and difficulty of static traffic research.
停车需求预测与管理是城市静态交通研究的重点和难点。
Traffic flow forecasting is one of the important issues for the research of Intelligent Transportation System.
交通流量预测是智能交通系统研究的一个重要课题。
The primary purpose of this position is to deal with day-today tasks related to capacity planning, resource forecasting, call traffic monitoring to enable optimal performance at contact centre.
此职位之主要目的是处理电话银行中心的日常资源筹划，预测及监察电话流量以达到资源配合及部门绩效上最理想的效果。
Fortune capacity forecasting work is in the very important position in the earlier stage work of traffic engineering construction.
运量预测工作在交通工程建设的前期工作中处于十分重要的地位。
The identification of chaos in the real traffic flow can provide theoretical guidance for forecasting and control of real traffic flow.
通过对实测交通流进行混沌判别，可以为实际交通流的预测和控制提供理论指导。
The identification of chaos in traffic flow can provide theoretical guidance for forecasting and control of real traffic flow.
对交通流进行混沌判别，可以为实际交通流的预测和控制提供理论指导。
Passenger traffic demands forecasting is the basic of road traffic planning.
客运交通需求预测是道路交通规划的基础。
Traffic flow forecasting has become an emphasis question for discussion in traffic engineering domain and one kernel study in Intelligent Transportation System.
交通量预测分析已成为交通工程领域重点研究课题，智能运输系统的核心研究内容之一。
Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN) model for forecasting network traffic was created.
结合小波变换和人工神经网络的优势，建立一种网络流量预测的小波神经网络模型。
When a new traffic mode is introduced into current transportation system, the conventional travel demand forecasting method based on revealed preference data will be useless for modal split.
当交通系统中引入新的交通方式时，传统的基于实绩选择调查数据的交通需求预测方法对于方式分担预测将会无效。
This paper's result will be reference to traffic mode split forecasting, and will provide the basis for traffic impact analysis under Large-scale events.
分析结果可为大型活动期间交通方式构成预测提供参考，进而为大型活动期间交通影响分析提供基础依据。
There are many factors that can influence the traffic flow, all of these results in the difficulties of real-time traffic flow forecasting.
由于影响交通流量的因素众多，这就给交通流量预测，尤其是短时的交通流量预测带来了困难。
The application of combined models for traffic demand forecasting is analyzed, and emphasis is put on two combined models applied to demand forecasting for urban traffic.
分析了交通需求预测组合模型的应用，重点研究了适用于城市交通需求预测的两种组合模型。
With the deepening of research in neural network, some scholars also utilize neural network for traffic modeling and forecasting.
随着神经网络研究的深入，一些学者也将其用于网络流量的建模和预测。
Finally, evaluate the actual performance of the traffic flow forecasting system.
最后，对开发的交通流预测系统的实际性能进行评价。
In traffic field, Neural Network has good advantage in the non-linear Neural Network, and it 's specially good at problem perfectly solving the traffic in the field of the forward flow forecasting.
神经网络可以很好的解决交通领域内的非线性问题，其中前向型神经网络特别适合对交通流的预测。
Secondly, under the guidance of data mining, make a detailed software design of traffic flow forecasting system.
其次，以数据挖掘技术为指导思想，对交通流预测系统进行详细的软件设计。
Finally it proves by using the actual data that this model may use in the road traffic accident forecasting.
最后通过实际数据验证证明了该模型可以用于道路交通事故预测。
The increasingly complex behavioral characteristic of the network has brought new challenges to the network traffic modeling and forecasting.
越加复杂的网络行为特征给网络流量建模和预测带来了新的挑战。
In this paper, first, according to development goals of traffic flow forecasting system, makes a specific system design requirements analysis report.
本文首先根据交通流预测系统的开发目标，进行具体的系统设计需求分析。
Aiming at solving the demanding problem of road traffic system in exactly forecasting the traffic freight volume, an introduction is made into the Grey Model GM (1, 1) for forecasting.
针对公路交通系统在准确预测交通运量时的棘手问题，引进灰色预测GM(1,1)模型进行预测。
Results of the test using field data show that the spline fitting can make a better compromise of best fitting and smoothness, and the algorithm performs better in short-term traffic flow forecasting.
经过实测数据仿真试验表明，样条拟合能较好地兼顾最优拟合与曲线光滑度的选择，算法的预测效果良好。
Traffic flow forecasting is one of the important issues for the research of Intelligent Transportation System (ITS).
交通流量预测是智能交通系统(its)研究的一个重要课题。
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