交通运输系统工程与信息 ›› 2008, Vol. 8 ›› Issue (4): 114-118 .

• 系统工程理论与方法 • 上一篇    下一篇

基于统计分析对交通信息集成的优化

阳王东*1;何焕民2;祝青1   

  1. 1湖南城市学院 计算机科学技术系,湖南 益阳 413000;
    2 汕头林百欣科技中专学校,广东 汕头 515041
  • 收稿日期:2008-01-28 修回日期:2008-05-04 出版日期:2008-08-25 发布日期:2008-08-25
  • 通讯作者: 阳王东
  • 作者简介:阳王东(1974-),男,湖南衡南人,高级工程师,硕士。
  • 基金资助:

    科技部科技型中小企业技术创新基金(2004110104134)。

Optimizing Integration of Traffic Information Based on Statistical Analysis

YANG Wang-dong*1;HE Huan-min2; ZHU Qing1   

  1. 1.Department of Computer Science and Techology, Hunan City University, Yiyang 413000, Hunan, China;
    2.Shan Tou Lin Baixin Science and Techology School , Shantou 515041, Guangdon, China
  • Received:2008-01-28 Revised:2008-05-04 Online:2008-08-25 Published:2008-08-25
  • Contact: YANG Wang-dong

摘要: 交通信息集成能够综合分析和利用各种交通信息系统所产生和采集的数据,从而实现对城市交通的综合管理和统一调度。但由于交通信息数据量大且有较强的实时性,并且不同的交通信息对传输性能的要求也不尽相同,因此交通信息传输的QoS要求尤为重要。基于统计分析对交通信息集成的优化是在利用消息总线实现对数据集成,对实时交通信息的传输延时和信息之间的传输相干性进行统计分析,来获取交通信息传输的定量特性,为交通信息传输过程中的消息传输通道、缓冲队列和时间限制等参数设置提供依据,从而优化交通信息的集成,有助于提高实时交通信息的响应时间和处理效率。

关键词: 消息, 信息集成, 区间估计, 通道

Abstract: Traffic information integration can comprehensively analyze and use all kinds of data generated by the system and thus fulfill the management and control of the city traffic. However, owing to the large amount of traffic information, a strong real-time request, and traffic information’s requirements of the different transmission performance, the QOS of traffic information’s transmission is particularly important. Based on the statistical analysis of traffic information, the optimization of integration is the use of information bus data to achieve the data integration, to statistically analyze the real-time traffic information’s delay on the transmission and disturbance between transmission information, and then it can get the quantitative characteristics of the traffic information transmission and provide evidence for the parameter setting of information transmission channels, the buffer queue and the time constraints. Thus it can optimize the integration of traffic information, improve efficiency and shorten the responding time of traffic information.

Key words: message, information integration, interval estimation, channel

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