@Article{EAJAM-9-3,
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 = {<p style="text-align: justify;">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.</p>},
issn = {2079-7370},
doi = {https://doi.org/10.4208/eajam.181118.250219},
url = {https://global-sci.com/article/82623/applications-of-the-bounded-total-variation-denoising-method-to-urban-traffic-analysis}
}