1) network traffic volume prediction
网络交通量预测
2) traffic prediction
交通量预测
1.
According to the dispersion of the traffic development around the world,this paper introduced a new Traffic Prediction Vector Space Theory through the studying of various traffic prediction models.
根据世界各地交通发展分散性很大的实际状况,通过对多种预测模型的研究,提出了交通量预测的向量空间理论。
3) traffic volume forecasting
交通量预测
1.
However,traditional traffic volume forecasting of highway always focuses on the characteristics of highway transportation system itself,and neglects the relationship between highway and other transportation modes.
而传统公路项目交通量预测往往从公路交通系统自身的角度出发,割裂了公路交通与其他运输方式之间的复杂关系,因而影响了预测结果的可靠性。
2.
Traditional traffic volume forecasting method of highway construction project always focuses on the characteristics of highway transportation system itself,and neglects the relationship between highway and other transportation modes.
传统公路建设项目交通量预测方法往往从公路交通系统自身的角度出发,割裂了公路交通与其他运输方式之间的复杂关系,因而影响了预测结果的可靠性。
3.
The key issue for using the elastic method in the traffic volume forecasting is the determination elasticity coefficient.
运用弹性系数法进行交通量预测的关键在于确定弹性系数。
4) traffic volume prediction
交通量预测
1.
Application of grey-markov model in traffic volume prediction;
灰色马尔柯夫模型在交通量预测中的应用
2.
By improving and systematizing the passage traffic volume prediction method,the components of the perspective traffic volume is proposed from the view of overall prediction ideas.
通过对通道交通量预测方法的完善和系统化,从整体预测思路的角度出发,提出远景交通量的组成,并分析各组成部分的产生机理,给出简便可行的计算方法,有助于正确预测通道交通量。
3.
The traffic volume prediction is one of the important compositions of feasibility research and post-valued of highway construction projects.
交通量预测是高速公路建设项目可行性研究和后评价的重要组成部分，它是进行交通量现状评价、综合分析建设项目的必要性和可行性的基础，是确定高速公路建设项目的技术等级、工程规模、经济评价控制的主要依据。
5) traffic forecast
交通量预测
1.
Application of the manual BP neural network in the traffic forecast;
人工BP神经网络在交通量预测中的应用
2.
It is very important of share ratio of freeway and other parallel highway in the same transportation corridor for the traffic forecast.
在公路可行性研究或项目评估时,同一通道内高速公路与平行辅路交通量分担比例在交通量预测中非常重要,以交通运输的基本机理和追求的目标为分析的出发点,系统的分析了交通运输行为主体和公路属性的各方面对该比例的影响,包括地区的经济水平、不同车型的差异性、高速公路与平行辅路的里程差、等级和路况的对比、通道的交通饱和程度、收费水平等因素,这些因素的分析对实践中该比例的确定具有较强的指导意义。
3.
This paper first analyzes the character and parameter demarcating of Logistic Curve and Picketage Model s S Curve, then puts forward a traffic forecasting method based on this two curve models.
在此基础上提出将这两种曲线模型结合起来的交通量预测模型,并应用于规划公路网路段的交通量预测,取得了较好的预测结果。
6) traffic volume forecast
交通量预测
1.
How to consider the influences of overload management in road traffic volume forecast;
道路交通量预测中如何考虑治超的影响
2.
The enquiry of "coefficient of correction" in traffic volume forecast;
在交通量预测中构造“修正系数”的探讨
3.
Application of support vector machines in traffic volume forecast;
支持向量机在交通量预测中的应用
补充资料：经验指数预测法(见发生量预测)
经验指数预测法(见发生量预测)
经验指数预测法见发生量预测。
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