交通方式划分

CFM能够同时产生出行生成、OD空间分布、交通方式划分以及交通量分配预测结果，从而缩短了传统的需求分析步骤，提高了交通预测精度。

CFM , which shortens the traffic forecasting procedure and is capable of improving the forecasting accuracy , can produce the forecasting result of trip generation , OD matrix , modal split and traffic assignment simultaneously .

混合交通方式划分与交通分配联合模型

A Combinatorial Model of Modal Split and Traffic Assignment for Mixed Urban Traffic Networks

巢式Logit交通方式划分模型及求解方法研究

Study on Nested Logit Model for Transport Mode Split and Its Solution

交通方式划分的LOGIT模型方法

Method of LOGIT Model in Traffic Mode - split

广义Logit交通方式划分预测方法

Generalized Logit Method for Traffic Modal Splitting

MNL模型在交通方式划分中的新发展

Latest Developments of MNL Model in Traffic Mode-split

MNL模型作为Logit模型的基本型式，在非集计方式的交通方式划分中有良好的应用前景。

MNL model is the basic type in logit model . It has a good future in application of traffic mode-split among the disaggregate methods .

实例结果表明，基于RP/SP联合数据的logit模型能够平衡两类数据之间的误差相互影响，并能够得到更为合理的交通方式划分预测结果。

Experimental results show that the logit model with combined RP / SP data can easily account for the scaling and unobserved error correlations and provides a more reasonable result .

基于Nested-Logit模型的经济圈交通方式划分方法研究

Traffic Modal Splitting Method for Economic Circle Based on Nested-Logit Model

基于非集计模型的思想，建立一种基于模糊神经网络（FNN）的交通方式划分模型，并利用FNN模型对轨道交通客流分担率和轨道交通枢纽站内与交通方式的换乘比例进行划分。

Based on the disaggregate model thought , a Traffic Modal Splitting Model Based on FNN is proposed , and the passenger quantity partaking proportion of urban railway transit and transferring passenger quantity proportion in hub station are fixed by FNN model .

利用效用函数探讨交通方式划分

Use the Effect Function to Study Transportation Method division

基于概率神经网络的交通方式划分模型

Modelling Traffic modal split with probabilistic neural network

对交通方式划分与路网分配理论与算法进行研究，是对轨道交通线网规划过程中进行客流预测的理论支撑。

The theories of modal split and traffic distribution were investigated for passengers flow forecasting .

由于其不需要很大的调查样本却同样能提供较准确的分类信息，它在交通方式划分研究上有着广泛的应用前景。

Because of small investigating capability with accurate prediction Logit model is valuable in Mode-Split research .

浅论客流交通方式划分&以宁波市为例

On the Categorization of the Mode of Passenger Traffic & With Ningbo City as an Example

最后以长三角经济圈部分城市之间的交通方式划分作为实例，说明了该方法有效可行。

Thereafter , the validity and practicability of the proposed method were demonstrated by the examples of traffic modal split of several cities in the economic circle of Yangtze River Delta .

交通方式划分模型是交通规划中重要的模型之一，交通方式分担率是政府进行城市交通规划与制定交通管理政策的重要依据，它影响着城市居民的出行效率。

The mode split model is one of key modals of the traffic planning . The transportation mode split is an important basis for the government to establish transportation planning and policy . It would impact on the urban residential trip efficiency .

不同交通方式市场份额划分问题及竞争策略

Market Share of Different Traffic Means and their Competing Strategy

交通方式选择的确定就叫做交通方式划分。

The determination of the choice of travel mode is known as modal split .

针对已有交通需求预测模型的不足，提出新型的交通方式划分预测模型，以及道路过度拥挤状态的流量阻抗函数等一系列模型和算法；

Are calibrated ; 3 . In allusion to the deficiency of traditional travel demand forecasting models , it puts forward a serial of new models and arithmetic to the new-style Mode Split Forecasting models as well as the Volume Delay Function in the state of over-congestion in the road ;

然后论文对旅游交通的概念作了论述，根据旅游与交通的关系对旅游交通方式进行了划分。

The paper arguments the definition of tourism traffic and classifies the tourism traffic into different modes according to the relationship between tourism and traffic .

研究非常态下城市交通紧急疏散的交通需求预测和管理，包括交通产生、交通分布、交通方式划分和交通分配，并提出了循环反馈的交通需求预测和管理流程。

Secondly , this paper researches the travel demand forecasting and management method of urban traffic emergency evacuation on emergency accident condition , including trip generation , trip distribution , trip mode sorting and trip assignment , and put forward the feedback traffic demand forecasting and management flow procedure .

运用了交通方式路径虚拟和对路径费用重新排序的方法，给出了双准则交通分配和方式划分的综合模型、有效路径算法和用户均衡算法。

A bi-criteria combined traffic assignment and modal split model and algorithm of efficient path and user equilibrium were put forward through cost reordered virtual paths .

在当今的城市交通需求分析方法中，应用最广的方法为四阶段分析法，它由交通生成、交通分布、交通方式划分以及交通分配等四个阶段组成。

Among the analysis methods of the urban traffic demands at present , the most prevailing one is the four-stage analyses , which are composed of trip generation / attraction , trip distribution , trip modal split and trip assignment .