The driving cycle depends on a mass of investigating data, which describe the character of traffic status in given area.

行驶循环是在大量统计数据的基础上对特定地区交通状况特征的描述。

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In this paper, an analytic and predicting model for urban region traffic flow status is presented by using several data mining technologies.

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。

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However, traditional traffic analysis methods pay attention to current status of network and deal with few of historical or future data.

而传统的网络话务量数据分析主要关注的是当前交换机话务分布情况，对历史数据的分析和将来趋势的预测比较少。

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Its current program, which factors in information provided by ad servers, automotive shopping Weblets, dealership traffic data and consumer surveys, generates a daily status report that lets executives know what's working.

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