A Novel LMS Method for Real-Time Network Traffic Prediction

机译：实时网络流量预测的一种新的LMS方法

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Real-time traffic prediction could give important information to both network efficiency and QoS guarantees. On the basis of LMS algorithm, this paper presents an improved LMS predictor - EaLMS (Error-adjusted LMS) -for fundamental traffic prediction. The main idea of EaLMS is using previous prediction errors to adjust the LMS prediction value, so that the prediction delay could be decreased. The prediction experiment based on real traffic trace has proved that for short-term traffic prediction, compared with traditional LMS predictor, EaLMS significantly reduces prediction delay, especially at traffic burst moments, and avoids the problem of augmenting prediction error at the same time.

机译：实时流量预测可以为网络效率和QoS保证提供重要信息。在LMS算法的基础上，本文提出了一种用于基本流量预测的改进的LMS预测器-EaLMS（Error-adjusted LMS）。 EaLMS的主要思想是使用先前的预测误差来调整LMS预测值，从而可以减少预测延迟。基于真实交通轨迹的预测实验证明，与传统的LMS预测器相比，EaLMS在短期交通预测中，显着减少了预测延迟，尤其是在交通突发时刻，并且避免了同时增加预测误差的问题。

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来源
《International Conference on Computational Science and Its Applications(ICCSA 2004) pt.4; 20040514-20040517; Assisi; IT》|2004年|P.127-136|共10页
会议地点 Assisi(IT);Assisi(IT)
作者
Yang Xinyu; Zeng Ming; Zhao Rui; Shi Yi;
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作者单位

Dept. of Computer Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, P.R.C;

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原文格式 PDF
正文语种 eng
中图分类理论、方法;
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4. A Novel LMS Method for Real-Time Network Traffic Prediction [C] . Yang Xinyu, Zeng Ming, Zhao Rui, International Conference on Computational Science and its Applications . 2004

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5. Traffic flow modeling with real-time data for on-line network traffic estimation and prediction. [D] . Qin, Xiao. 2006

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8. Real-Time Travel Time Prediction on Urban Traffic Network. [R] . Wagt, Y., Wu, Y. J., Ma, X., 2010

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A Novel LMS Method for Real-Time Network Traffic Prediction

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