结果表明：该系统不但可估算并预测车辆在某一路段的污染物排放水平，还可评价交通管理改进措施对车辆排放的影响。
The result shows that the system can confirm the effect of vehicle emission on air pollution composition and evaluate the effect of traffic management and control strategies on vehicle emission.
交通量预测是交通影响分析中的基础性工作之一。
Traffic demand forecast is one of the basic components of traffic impact analysis.
利用模型预测出行量在各种交通方式中分配的比率，分析不同服务属性对出行者选择交通方式的影响。
By this model, one can predict a ratio of different kinds of transportation method assigned, and analyze what influence different properties of the services have on the executor.
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.
从收集资料、预测交通量、方案比选、环境影响评价等多方面阐述了公路可行性研究工作中应注意的问题。
From collecting materials, forecasting traffic volume, alternate plan and environmental impact evaluation, the paper discussed some problem in highway feasibility research work.
文章探讨了开发小区交通运输噪声环境影响分析中对车流量预测和噪声预测的几种技术方法。
This paper discussed some key issues of environmental impact analysis of traffic noise due to the small development area.
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。
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.
出行生成模型：交通小区通达性和便利程度在很大程度上影响着居民的交通生成量，传统的出行生成预测模型无法反映这一特征。
This model demonstrates how the socioeconomic variable, traffic serving level and the socioeconomic variable around traffic zones contributes to the trip generations.
通过改进传统的相关系数法进行通道交通需求预测，分析了交通需求的相关影响因素。
Traditional correlation coefficient method was improved for corridor traffic demand forecast; accumulating and dispersing nodes and correlative influence factors of traffic demand were analyzed.
较之传统经验方法，模型能够有效定量预测新建公共建筑交通影响分析中的交通产生量。
Compared with conventional empirical methods, this model can effectively and quantitatively forecast the potential traffic demand of newly built public buildings in traffic impact analysis.
交通产生预测的精度将直接影响交通需求预测的结果，影响交通产生预测的主要因素是居民住户的特性。
The accuracy of trip generation will directly affect the result of traffic demand forecast and the trip characteristic of household will impacts on the trip generation.
本文通过分析影响公路交通噪声的各种因素，并利用实测样本数据，建立了一个公路交通噪声预测的神经网络模型。
By using some road traffic noise measured data, a model of neural network for road traffic noise prediction was established.
城市公路交通量预测不仅对于区域交通规划有重大意义，而且还直接影响到交通控制的效果。
Traffic volume forecast is not only important to region traffic plan, but also has a direct effect on result of traffic control.
交通系统公路客运量预测不仅具有模糊性和动态性等特点，而且受多个因素影响。
The forecast of passenger capacity is not only obscure and dynamic in transportation system, but also influenced by several factors.
并以黑龙江省某市交通数据进行预测，最后分析了影响因素与分担率水平的影响关系，应用得到了预期的效果。
The fuzzy inference method is applied to the city public transit in Heilongjiang province. At last, the paper analyze…
并以黑龙江省某市交通数据进行预测，最后分析了影响因素与分担率水平的影响关系，应用得到了预期的效果。
The fuzzy inference method is applied to the city public transit in Heilongjiang province. At last, the paper analyze…
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