| 动态交通数据故障识别与修复方法 |
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| 引用本文： | 姜桂艳,江龙晖,张晓东,王江锋.动态交通数据故障识别与修复方法[J].交通运输工程学报,2004,4(1):121-125. |
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| 作者姓名： | 姜桂艳 江龙晖 张晓东 王江锋 |
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| 作者单位： | 吉林大学,交通学院,吉林,长春,130025 |
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| 基金项目： | 国家自然科学基金项目(50178072),"十五"国家科技攻关重大项目(2002BA404A03) |
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| 摘 要： | 为提高交通模型输入信息的可靠性,通过对交通传感器采集到的动态交通数据的故障进行识别,并根据不同的故障种类采取补充、还原或修正等方法对数据进行修复。分析结果表明,动态交通数据的故障识别与修复方法是可行的,尤其是对数据的补充处理,可以很好地解决因为数据丢失而给后续处理带来的困难。
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| 关 键 词： | 智能运输系统 动态交通数据 故障数据 识别与修复 |
| 文章编号： | 1671-1637(2004)01-0121-05 |
| 修稿时间： | 2003年2月17日 |
Malfunction identifying and modifying of dynamic traffic data |
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| JIANG Gui-yan,GANG Long-hui,ZHANG Xiao-dong,WANG Jiang-feng.Malfunction identifying and modifying of dynamic traffic data[J].Journal of Traffic and Transportation Engineering,2004,4(1):121-125. |
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| Authors: | JIANG Gui-yan GANG Long-hui ZHANG Xiao-dong WANG Jiang-feng |
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| Abstract: | This paper described the method of malfunction identifying of dynamic traffic data and data-processing procedure with respect to the type of data malfunction, such as omitting, reverting and modifying. All of these can provide accuracy and credible input information to prediction model of traffic states. The result indicates that the methods are feasible, especially, data-modifying resolves the problem of later data-processing brought by data-missing. 2 tabs, 6 figs, 8 refs. |
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| Keywords: | intelligent transportation system dynamic traffic data malfunction data identifying and modifying |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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