数据挖掘算法在智能交通中的应用研究

Weifang Zhai, Yiran Jiang, Song Ji
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引用次数: 2

摘要

如今,在智能交通领域,数据挖掘技术得到了越来越广泛的应用。数据挖掘技术可以从海量的交通数据中发现有价值的数据,并根据实际交通状况对交通状况进行分析。为了提高ITMS的管控水平,可以从各种查询条件中查询到有效的信息,发现、分析和预测适合各种交通情况的模型,为交通管理者提供准确的信息进行决策。本文主要研究智能交通中的数据挖掘算法,以期为城市交通大数据技术的应用和研究提供实用参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Application of Data Mining Algorithms in Intelligent Transportation
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.
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