基于数据挖掘的道路交通信息分析与决策支持研究

Wang Ya-jun, Yuan Zhao-cheng, He Song-bai, Cheng Jie-li, Zhang Zhi-jun
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引用次数: 2

摘要

根据交通信息数据分析的特点和要求,提出了应用于交通信息管理和决策的数据挖掘技术。在此基础上,进一步提出了交通信息智能分析与决策支持的集成模型。该模型以数据挖掘技术和数据仓库技术为核心,充分应用了计算机智能技术和决策支持系统理论。本文主要阐述了该模型的主要组成部分、关键技术和实现方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Data-Mining-Based Study on Road Traffic Information Analysis and Decision Support
According to the characteristics and requests of data analysis of traffic information, data mining techniques are put forward to apply to the management and decision-making of traffic information. Based on this foundation, an integrated model of the traffic information intelligent analysis and decision support is further given. This model has data mining techniques and data warehouse at its core, and fully applies computer intelligence techniques and the theory of the decision support system. As main parts of this article, the model’s main components, key techniques and implementing plan are elaborated.
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