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。
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.
出处
《交通运输工程学报》
EI
CSCD
2004年第1期121-125,共5页
Journal of Traffic and Transportation Engineering
基金
国家自然科学基金项目(50178072)
"十五"国家科技攻关重大项目(2002BA404A03)
关键词
智能运输系统
动态交通数据
故障数据
故障识别
修复
Data processing
Data structures
Intelligent vehicle highway systems
Mathematical models
Problem solving
