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 - <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>