DocumentCode :
45590
Title :
A Study on the Method for Cleaning and Repairing the Probe Vehicle Data
Author :
Zhaosheng Zhang ; Diange Yang ; Tao Zhang ; Qiaochu He ; Xiaomin Lian
Author_Institution :
Dept. of Automotive Eng., Tsinghua Univ., Beijing, China
Volume :
14
Issue :
1
fYear :
2013
fDate :
Mar-13
Firstpage :
419
Lastpage :
427
Abstract :
Probe vehicle data are being increasingly applied in urban dynamic traffic data collection. However, the mobility and scale limit of probe vehicles may lead to incomplete or inaccurate data and thus influence the measurement of the state of traffic. At present, probe vehicle data are usually repaired by linear interpolation or a historical average method, but the repair accuracy is relatively low. To address the given problems, the multi-threshold control repair method (MTCRM) was proposed to clean and repair the probe vehicle data. The MTCRM adopts threshold control and a rule based on the approximate normalization transform to clean abnormal traffic data and to fill in the missing data by a weighted average method and an exponential smoothing method. In this approach, we combine topological road network characteristics to fill in the missing data from data for neighboring road sections and repair noisy data by reconstructing the principal components. This paper mainly focuses on analyzing the component of the recurring pattern of probe vehicle data, which can provide guidelines for the subsequent traffic forecasts. The findings of data repair for different grades of road in Beijing, China, demonstrate that the mean repair error may meet the requirements of traffic-state measurement, demonstrating that MTCRM can effectively clean probe vehicle data.
Keywords :
interpolation; maintenance engineering; principal component analysis; road traffic; road vehicles; transforms; MTCRM; approximate normalization transform; data cleaning; data repair; exponential smoothing method; historical average method; linear interpolation; mean repair error; multithreshold control repair method; neighboring road sections; probe vehicle data; topological road network characteristics; traffic forecasts; traffic-state measurement; urban dynamic traffic data collection; weighted average method; Cleaning; Correlation; Maintenance engineering; Probes; Roads; Vectors; Vehicles; Data cleaning; data repair; multithreshold control repair method (MTCRM); normalization transform; probe vehicle data; reconstruction of principal components;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2012.2217378
Filename :
6308719
Link To Document :
بازگشت