Repair method for traffic flow fault data based on spatial-temporal correlation

被引：5
|
作者：
Wang W. [1 ,2 ]
Cheng Z.-Y. [1 ]
Liu M.-Y. [1 ,3 ]
Yang Z.-S. [1 ,2 ]
机构：
[1] College of Transportation, Jilin University, Changchun
[2] Jilin Provence Key Laboratory of Road Traffic, Jilin University, Changchun
[3] Shandong Provincial Key Communications Planning and Design Institute, Jinan
来源：
Liu, Meng-Yi (663112954@qq.com) | 1727年 / Zhejiang University卷 / 51期
关键词：
3D shape function; Freeway; Repair precision; Repair results; Spatial-temporal characteristics; Traffic flow fault data;
D O I：
10.3785/j.issn.1008-973X.2017.09.007
中图分类号：
学科分类号：
摘要：
Considering the spatial-temporal characteristics of the traffic flow data, a spatial-temporal interpolation repair method based on 3D shape function was proposed to effectively repair the fault data of freeway traffic flow in time. The time interval, distance and time delay parameters were chosen as the extracted evidences of the relevant data, and the proposed method was validated through the actual data of freeway; while, the time series method, the spatial interpolation method, the method based on residual error GM model and the method based on statistical correlation analysis were selected as comparative approaches. Results show that the repair results of the proposed method are better than the results by time series method and spatial interpolation method; in addition, the repair error is lower than other methods. Compared with the method based on residual error GM model and the method based on statistical correlation analysis, the absolute error of the proposed method are reduced by 21.33% and 43.54%, respectively; the root-mean-square error are reduced by 12.87% and 35.08% respectively. The average absolute error rate of the proposed method are reduced by 40% compared with the method based on statistical correlation analysis, which illustrates that the repair precision of the proposed approach is more accurate and it is a kind of effective fault data repair approach. © 2017, Zhejiang University Press. All right reserved.
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页码：1727 / 1734
页数：7
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