Filling method of missing data for traffic flow based on rough set theory

WANG Xiao-yuan; WU Fang; PO Ji-nan

Volume 8 Issue 5

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WANG Xiao-yuan, WU Fang, PO Ji-nan. Filling method of missing data for traffic flow based on rough set theory[J]. Journal of Traffic and Transportation Engineering, 2008, 8(5): 91-94.

Citation:

WANG Xiao-yuan, WU Fang, PO Ji-nan. Filling method of missing data for traffic flow based on rough set theory[J]. Journal of Traffic and Transportation Engineering, 2008, 8(5): 91-94.

WANG Xiao-yuan, WU Fang, PO Ji-nan. Filling method of missing data for traffic flow based on rough set theory[J]. Journal of Traffic and Transportation Engineering, 2008, 8(5): 91-94.

Citation:

WANG Xiao-yuan, WU Fang, PO Ji-nan. Filling method of missing data for traffic flow based on rough set theory[J]. Journal of Traffic and Transportation Engineering, 2008, 8(5): 91-94.

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Filling method of missing data for traffic flow based on rough set theory

1.
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, Shandong, China
2.
Transportation Research Group, University of Southampton, Southampton SO171BJ, UK

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Author Bio:
WANG Xiao-yuan (1970-), male, professor, PhD, +86-533-2763148, wangxiaoyuan@sdut.edu.cn
Received Date: 2008-03-18
Publish Date: 2008-10-25

Abstract

Abstract

In order to solve the problem of missing data detected from traffic detectors, the algorithm of filling missing data was proposed based on rough set theory, information system was constructed by the detected traffic flow data, distinct matrix was extended and analyzed repeatedly, the missing data of information system were filled, the algorithm was validated with the data of Southampton.Analysis result shows that, at the same period, when only one attribute datum is missed, the filling precision based on rough set theory is higher, the absolute relative error is lower, and basically keeps between 0 and 5%;when different attribute data are missed simultaneously, the filling precision is lower, and the absolute relative error is up to 20%;when all attribute data are missed, the filling is unable to realize, so the algorithm is very effective to fill a spot of missing data.
- traffic engineering,
- traffic flow,
- missing data,
- rough set theory,
- filling method

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References(12)

References

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