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.
汽车保有量的预测是城市交通规划的一项基础性工作，是制定各种交通需求管理措施的重要依据。
The forecast of vehicle ownership is a basic work to urban transportation planning and also is an important basis for urban to make a variety of travel demand management measures.
城市快速路是城市交通系统的大动脉，快速路的旅行时间预测具有十分重要的意义。
And the urban expressway is the main artery of the city transport system, so there is great significance in the travel time forecast of the urban expressway.
我国高等级公路及城市交通建设项目。已全部采用四阶段法预测运输需求，绝大部分铁路建设项目也采用四阶段预测法。
Our nation's first-class highway and the municipal transportation projects have all used four stages predict method to forecast transport demand; majorities of railroad project also use this method.
该修正方法可预测信息提供条件下的出行需求，对城市交通需求管理具有指导意义。
The modifyed approach could be used to forecast the travel demand with provided information and has significance for urban traffic demand.
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.
为减小城市交通需求预测中由于土地使用分析方面造成的误差，提出了一种基于城市区位差异分析的新的改进方法。
To reduce the error that comes from the analysis about the land use, authors put forward an improvement based on city location difference.
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。
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.
通过对2009年上海城市交通流量预测结果的分析，证明该方法可提高预测准确度。
By analyzing the forecasting results of Shanghai's traffic flow in 2009, it is shown that the proposed method can improve the accuracy of forecast.
传统城市交通网络设计是建立在交通量预测、已分配基础上，忽视了道路使用者可能的对设计方案的不同反应。
Traditionally we design the urban traffic net system based on the predicting and assigning traffic volume. The selecting right of the road users are ignored.
城市交通的智能控制实现的前提和关键是实时准确的交通流量预测。
The precondition and key of intelligent control of urban traffic is real time and exact traffic flow prediction.
CALINE4和OSPM模型适用于中国典型大城市交通道路PM 10浓度模拟预测。
CALINE4 and OSPM model were applicable to simulation and prediction of PM10 concentration on typical Chinese urban traffic roads.
摘要：居民出行分布预测是城市交通需求分析中的一个重要环节，对城市交通需求分析起着承前启后的作用。
Absrtact: The forecast of inhabitant trip distribution is an important part, and play a connecting role, in analysis of city traffic demand.
摘要：居民出行分布预测是城市交通需求分析中的一个重要环节，对城市交通需求分析起着承前启后的作用。
Absrtact: The forecast of inhabitant trip distribution is an important part, and play a connecting role, in analysis of city traffic demand.
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