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Volume 9, Issue 3
Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis

Shanshan Tang & Haijun Yu

DOI: 10.4208/eajam.181118.250219

East Asian J. Appl. Math., 9 (2019), pp. 622-642.

Published online: 2019-06

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  • Abstract

An easily implementable noise strength estimation algorithm to analyse the urban traffic is developed. It improves the accuracy of the road velocity predictions. Using real urban traffic data from Beijing Taxi GPS system, we demonstrate the efficiency of the algorithm. It is also shown that the BV denoising method with the best noise-strength estimates significantly improves the road clustering.

  • Keywords

Urban traffic prediction, bounded variation denoising, noise estimate, cluster analysis.

  • AMS Subject Headings

65M10, 78A48

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{EAJAM-9-622, author = {}, title = {Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis}, journal = {East Asian Journal on Applied Mathematics}, year = {2019}, volume = {9}, number = {3}, pages = {622--642}, abstract = {

An easily implementable noise strength estimation algorithm to analyse the urban traffic is developed. It improves the accuracy of the road velocity predictions. Using real urban traffic data from Beijing Taxi GPS system, we demonstrate the efficiency of the algorithm. It is also shown that the BV denoising method with the best noise-strength estimates significantly improves the road clustering.

}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.181118.250219}, url = {http://global-sci.org/intro/article_detail/eajam/13170.html} }
TY - JOUR T1 - Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis JO - East Asian Journal on Applied Mathematics VL - 3 SP - 622 EP - 642 PY - 2019 DA - 2019/06 SN - 9 DO - http://doi.org/10.4208/eajam.181118.250219 UR - https://global-sci.org/intro/article_detail/eajam/13170.html KW - Urban traffic prediction, bounded variation denoising, noise estimate, cluster analysis. AB -

An easily implementable noise strength estimation algorithm to analyse the urban traffic is developed. It improves the accuracy of the road velocity predictions. Using real urban traffic data from Beijing Taxi GPS system, we demonstrate the efficiency of the algorithm. It is also shown that the BV denoising method with the best noise-strength estimates significantly improves the road clustering.

Shanshan Tang & Haijun Yu. (2019). Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis. East Asian Journal on Applied Mathematics. 9 (3). 622-642. doi:10.4208/eajam.181118.250219
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