Simultaneous Incomplete Traffic Data Imputation and Similarity Pattern Discovery with Bayesian Nonparametric Tensor Decomposition
| Autor: | Zhaocheng He, Yaxiong Han |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Economics and Econometrics
Article Subject Computer science Strategy and Management Bayesian probability Inference 02 engineering and technology computer.software_genre Bayesian nonparametrics 0502 economics and business 0202 electrical engineering electronic engineering information engineering Tensor decomposition Imputation (statistics) HE1-9990 050210 logistics & transportation Data collection TA1001-1280 business.industry Mechanical Engineering 05 social sciences Statistical model Computer Science Applications Transportation engineering Automotive Engineering 020201 artificial intelligence & image processing Data mining Smart card business computer Transportation and communications |
| Zdroj: | Journal of Advanced Transportation, Vol 2020 (2020) |
| ISSN: | 2042-3195 0197-6729 |
| Popis: | A crucial task in traffic data analysis is similarity pattern discovery, which is of great importance to urban mobility understanding and traffic management. Recently, a wide range of methods for similarities discovery have been proposed and the basic assumption of them is that traffic data is complete. However, missing data problem is inevitable in traffic data collection process due to a variety of reasons. In this paper, we propose the Bayesian nonparametric tensor decomposition (BNPTD) to achieve incomplete traffic data imputation and similarity pattern discovery simultaneously. BNPTD is a hierarchical probabilistic model, which is comprised of Bayesian tensor decomposition and Dirichlet process mixture model. Furthermore, we develop an efficient variational inference algorithm to learn the model. Extensive experiments were conducted on a smart card dataset collected in Guangzhou, China, demonstrating the effectiveness of our methods. It should be noted that the proposed BNPTD is universal and can also be applied to other spatiotemporal traffic data. |
| Databáze: | OpenAIRE |
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