摘要
智能交通系统应用的迅猛发展需要高质量的交通数据,而交通数据采集技术采集到的原始数据会不可避免地混入异常数据,降低数据的有效性,从而可能引起系统应用性能的降低.本文针对基于无线射频技术(RFID)的交通数据,设计了一套交通数据评价指标,并根据交通数据评价指标的特点,综合评价权重向量计算方法的适用条件及优缺点,建立了基于IOWA(Induced Ordered Weighted Averaging)算子的交通数据综合评价方法.基于实际数据的分析结果表明,该方法可以对RFID交通数据进行有效性评价.
The rapid development of intelligent transportation system(ITS) applications demands high quality traffic data.However,presence of abnormal data in the raw data acquired through traffic data collection techniques is inevitable,thereby reducing the validity of traffic data and degrading the performance of ITS applications.In this paper,concerning the traffic data collected using radio frequency identification(RFID)-based traffic data collection technique,a series of evaluation measures are proposed.Based on the characteristics of these measures and comprehensively considering the applicability conditions,advantages and disadvantages of each weight vector,an IOWA operator-based comprehensive evaluation method is proposed.Based on an application of the method to real world RFID data,the proposed method is demonstrated to be effective in evaluating the RFID-based traffic data.
作者
龙思卿
赵盼明
郭建华
LONG Siqing;ZHAO Panming;GUO Jianhua(Intelligent Transportation System Research Center,Southeast University,Nanjing 210018)
出处
《南京信息工程大学学报(自然科学版)》
CAS
2019年第4期474-482,共9页
Journal of Nanjing University of Information Science & Technology(Natural Science Edition)
基金
国家自然科学基金(61573106)
关键词
RFID数据
数据采集
数据评价指标
IOWA算子
评价
radio frequency identification(RFID)
data acquisition
data evaluation index
IOWA operator
evaluation