East Asian J. Appl. Math., 9 (2019), pp. 622-642.
Published online: 2019-06
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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} }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.