短时交通流预测是动态交通控制和诱导的前提。
Short—term traffic flow prediction is the basis of dynamic traffic control and guidance.
最后，对开发的交通流预测系统的实际性能进行评价。
Finally, evaluate the actual performance of the traffic flow forecasting system.
交通流预测在城市交通管理和控制中起着十分重要的作用。
Traffic volume prediction plays a very important role in urban traffic management and control.
目前的交通流预测模型存在着运算时间长、精度不高等缺点。
Previously the model of prediction of traffic flow have disadvantage that the time of operation is too long and the precision is low.
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。
In this paper, first, according to development goals of traffic flow forecasting system, makes a specific system design requirements analysis report.
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。
Secondly, under the guidance of data mining, make a detailed software design of traffic flow forecasting system.
介绍了用于短期交通流预测的两大类模型：统计预测算法和人工神经网络模型。
A large number of techniques have been applied into short-term traffic flow prediction, which can be classified into two groups: statistical models and artificial neural network model.
其中，交通流预测尤其是短时交通流预测是动态路径规划中决定道路权重的重要因子。
Among them, traffic flow prediction especially short-term traffic flow prediction is an important factor, which decided the road weights in dynamic path planning.
交通网络模型、路径规划算法以及交通流预测是车辆导航动态路径规划需要解决的重点问题。
The key problems of vehicle navigation dynamic path planning are traffic network model, path planning algorithm and traffic flow prediction.
基于神经网络的交通流预测模型已被广泛应用于ITS由于其较高的预测精度和自我学习能力。
The traffic flow forecasting model based on neural network has been applied widely in its because of its high forecasting accuracy and self-learning ability.
在简要介绍神经网络原理的基础上，分析了采用神经网络解决交通系统中空车调度及交通流预测的原理及方法。
Based on the introduction to neural network principle, two methods of solving free train schedule and traffic flow prediction in transportation system with neural network are analyzed.
通过分析短时交通流时序特性，将灰色系统理论应用于短时交通流预测，建立了滚动GM(1,1)预测模型。
By analyzing short time traffic flow time sequence property, the gray system theory is used for short time traffic flow prediction and the scrolling GM (1, 1) prediction model is set up.
考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。
Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.
在此基础之上，通过实验验证了在负载平衡框架DLBFG支持下，基于网格的交通流预测的性能得到了明显的提升。
On this basis, through experiments in DLBFG support, the performance of grid-based traffic flow forecasting has been remarkably improved.
本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。
Through the data obtained by fieldwork, the paper forecasts the short-term traffic by three methods: moving-average method, index-smoothing method, AR model method.
针对当前道路交通流量预测的多种不同特性的方法，提出了一种组合预测方法。
In response to various characteristics of the present road traffic flow prediction, a combined prediction is presented in this article.
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。
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.
实时、准确的交通量预测是实现动态交通流控制及诱导的前提和基础。
The accurate real-time forecast of traffic volume is the premise and basement of the dynamic traffic control and guidance.
本文运用计算机科学领域中的数据挖掘技术，提出了一个城市区域交通流分析预测模型。
In this paper, an analytic and predicting model for urban region traffic flow status is presented by using several data mining technologies.
本文提出了一种将多种预测模型与人工智能技术相结合的短时交通流智能预测方法。
The present thesis provides a method to predict the traffic flow in a short period by combining several prediction models and artificial intelligence.
提出一种基于异常值检测的电梯交通流递归预测方法。
This paper proposes a recursive forecast method for elevator traffic flow based on outlier detection.
本论文主要研究了电梯交通流的预测方法。
This thesis is mainly about the research in forecast approach for elevator traffic system.
分析表明：该模型较好地预测了短时交通流的变化趋势。
Analysis shows this model is able to predict the variation trend of short time traffic flow.
实际的城市交通流量预测研究表明，该模型具有较高的预测精度，可以为城市交通规划和控制提供准确的参考。
Practical prediction research of urban traffic flow shows that this model has famous predicted precision, and it can provide exact reference for urban traffic programming and control.
交通流量预测与分析是公路建设项目可行性研究或后评价的重要组成部分。
Traffic volume forecast and analysis is an important proportion of highway construction feasibility study and post-evaluation.
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。
There are many factors that can influence the traffic flow, all of these results in the difficulties of real-time traffic flow forecasting.
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 the real traffic flow can provide theoretical guidance for forecasting and control of real traffic flow.
交通流量预测是智能交通系统研究的一个重要课题。
Traffic flow forecasting is one of the important issues for the research of Intelligent Transportation System.
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。
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。
The identification of chaos in traffic flow can provide theoretical guidance for forecasting and control of real traffic flow.
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