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基于SVM的实时交通流模拟与预测系统设计
引用本文:殷英,张朝元,胡光华,徐天泽. 基于SVM的实时交通流模拟与预测系统设计[J]. 计算机工程与应用, 2005, 41(10): 197-199
作者姓名:殷英  张朝元  胡光华  徐天泽
作者单位:云南大学数学系,昆明,650091;云南警官学校,昆明,650223
基金项目:云南省自然科学基金资助项目(编号:2003E0086M),云南省教育厅自然科学基金资助项目(编号:02ZY011),云南大学理(2)科校级科研资助项目(编号:2002Q019SL)
摘    要:在统计学习理论的支持向量机学习算法研究基础上,采用Matlab语言设计了一种基于最小二乘支持向量机的实时交通流模拟与预测系统,详细阐述了算法设计、系统构架及实现,最后介绍了系统在城市路网交通流量预测中的应用,该系统为交通诱导数据的可视化表达提供了新的途径。

关 键 词:支持向量机  实时交通流  模拟与预测系统
文章编号:1002-8331-(2005)10-0197-03

Design of Real- Time Traffic Flow Simulating and Forecasting System Based on SVM
Yin Ying,Zhang Chaoyuan,Hu Guanghua,Xu Tianze. Design of Real- Time Traffic Flow Simulating and Forecasting System Based on SVM[J]. Computer Engineering and Applications, 2005, 41(10): 197-199
Authors:Yin Ying  Zhang Chaoyuan  Hu Guanghua  Xu Tianze
Affiliation:Yin Ying1 Zhang Chaoyuan1 Hu Guanghua1 Xu Tianze21
Abstract:Support vector machine is a new machine learning algorithm,based theoretically on statistic learning theory.A system for real-time traffic flow simulating and forecasting was designed using Matlab software based on least square support vector machine.The paper describes the design of the algorithm,the architecture and implementation of the system.It also introduces its application in urban traffic network.The system provides a new way to the visualization of traffic flow guidance data.
Keywords:support vector machine  real-time traffic flow  simulating and forecasting system  
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