Missing data imputation considering multi-mode variations

Huachun Tan, Qi Yao, Bin Cheng, Wuhong Wang, Bin Ran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Missing traffic data are inevitable due to detector or communication malfunctions which adversely affect the performance of intelligent transportation systems and make the requirement of missing traffic data imputation more important. In this paper, a novel method based on tensor completion is proposed to estimate the missing traffic data. Compared with previous tensor-based methods, systematic variations encoded with total variation are used to mine the traffic intrinsic properties. By minimizing the total variation norm, the approach can keep the systematic variations of traffic volume while inheriting the advantage of mining the multi-dimensional correlations of traffic data from the tensor pattern. Experimental results on PeMS database show the proposed method achieves a better imputation performance than the state-of-the-art missing traffic data imputation approaches.

Original languageEnglish
Title of host publicationCICTP 2014
Subtitle of host publicationSafe, Smart, and Sustainable Multimodal Transportation Systems - Proceedings of the 14th COTA International Conference of Transportation Professionals
PublisherAmerican Society of Civil Engineers (ASCE)
Pages478-489
Number of pages12
ISBN (Print)9780784413623
DOIs
Publication statusPublished - 2014
Event14th COTA International Conference of Transportation Professionals: Safe, Smart, and Sustainable Multimodal Transportation Systems, CICTP 2014 - Changsha, China
Duration: 4 Jul 20147 Jul 2014

Publication series

NameCICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems - Proceedings of the 14th COTA International Conference of Transportation Professionals

Conference

Conference14th COTA International Conference of Transportation Professionals: Safe, Smart, and Sustainable Multimodal Transportation Systems, CICTP 2014
Country/TerritoryChina
CityChangsha
Period4/07/147/07/14

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