...
首页> 外文期刊>International journal of advanced pervasive and ubiquitous computing >Research on the Application of Data Mining Algorithms in Intelligent Transportation
【24h】

Research on the Application of Data Mining Algorithms in Intelligent Transportation

机译:数据挖掘算法在智能交通中的应用研究

获取原文
获取原文并翻译 | 示例
           

摘要

Nowadays, in the field of intelligent transportation, data mining technology has been applied more and more widely. Data mining technology can find valuable data from amongst massive traffic data and analyze traffic conditions according to actual traffic conditions. In order to improve the management and control level of ITMS, effective information can be queried from various query conditions, models suitable for various traffic situations can be found, analyzed and predicted, and accurate information can be provided to traffic managers for decision-making. This article mainly studies the data mining algorithm in intelligent transportation, in order to provide practical reference for the application and research of urban traffic big data technology.
机译:如今,在智能交通领域,数据挖掘技术已得到越来越广泛的应用。数据挖掘技术可以从海量交通数据中找到有价值的数据,并根据实际交通状况分析交通状况。为了提高ITMS的管理和控制水平,可以从各种查询条件中查询有效信息,可以找到,分析和预测适合各种交通状况的模型,并可以向交通管理人员提供准确的信息以供决策。本文主要研究智能交通中的数据挖掘算法,为城市交通大数据技术的应用和研究提供实际参考。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号