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新型电梯群控系统交通模式识别方法 被引量：12

Traffic pattern recognition method for novel elevator system
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摘要 电梯交通模式识别是电梯群控调度的一个关键问题.针对实时变化的电梯交通流数据,提出一种新型的电梯系统交通模式识别方法.在不增加数据采集量的基础上,首先对基本交通信息进行预处理,再采用多值分类的支持向量机算法,对电梯群控系统建立交通模式分类器.建立的分类器可以根据交通流数据的变化,自适应地识别出建筑物内的最大客流层及次大客流层(厅堂除外).仿真结果表明,这种交通模式识别方法能较准确地辨识出各种交通流模式,并且通过对比试验,证明该算法的识别准确率优于人工神经网络算法,体现出较好的泛化能力,实用性强. The traffic pattern recognition is essential in elevator group control systems. Based on the varying elevator traffic flow data, a new elevator traffic flow pattern recognition method is presented. Without additional assignment, original traffic data is pretreated, and then an elevator traffic flow pattern recognition classifier based on multi-value support vector machines is built. The proposed pattern classifier can adaptively recognize the largest traffic flow floor in the building. Experimental results demonswate that this method can recognize different traffic modes accurately and is better than the artificial neural-network method.
作者 许玉格 罗飞
机构地区 华南理工大学自动化科学与工程学院
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2005年第6期900-904,共5页 Control Theory & Applications
基金 国家自然科学基金资助项目(69684001)
关键词 支持向量机 电梯群控系统 交通流 模式识别 support vector machine elevator group control systems traffic flow pattern recognition
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献7

  • 1BARNEY G C,dos SANTOS S M.Elevator Traffic Analysis,Design and Control [M].London:Peter Peregrinus,1985.
  • 2ALBERT T P,BEEBE J R,CHAN W L,et al.Elevator traffic pattern recognition by artificial neural network [C]//Proc of 1995 Elevcon 1995 Elevator Engineers Conference.Hong Kong:Int Association of Elevator Engineers,1995:122-131.
  • 3宗群,尚晓光,岳有军,雷小锋.电梯群控系统的交通模式识别[J].控制与决策,2001,16(2):163-166. 被引量：26
  • 4REN Jiangtao,OU Xiaoling,ZHANG Yi,et al.Research on network-level traffic pattern recognition [C]//Proc of the 5th IEEE Intelligent Transportation Systems Conference.Singapore:IEEE Press,2002:500-504.
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  • 6杜树新,吴铁军.模式识别中的支持向量机方法[J].浙江大学学报（工学版）,2003,37(5):521-527. 被引量：118
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二级参考文献26

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共引文献142

同被引文献72

引证文献12

二级引证文献48

控制理论与应用
2005年 第6期

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