NDLI: Compare linear interpolation and adaptive smoothing methods on traffic flow information reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Wei Guo Qi Wang Zhiheng Li Jiyuan Tan Yi Zhang Li Li Zuo Zhang
Copyright Year	2012
Description	Author affiliation: Department of Automation, TNList, Tsinghua University, Beijing, China 100084 (Zhiheng Li; Yi Zhang; Li Li; Zuo Zhang) \|\| Department of Automation, Tsinghua University, Beijing, China 100084 (Wei Guo; Qi Wang; Jiyuan Tan)
Abstract	With rapid development of transportation system, traffic information collection, which provides accurate and reliable traffic data, receives more and more attentions. However, under practical conditions, most roads and freeways are equipped with limited amount of loop detectors. Thus, researchers are delving into traffic information reconstruction by utilizing limited information. In this paper, we compare the classical linear interpolation method and a special nonlinear interpolation method, the adaptive smoothing method, on reconstructing the spatial-temporal dynamics of traffic flow rate, density and velocity. Tests on NGSIM dataset show that both methods are effective.
Starting Page	1650
Ending Page	1655
File Size	1122739
Page Count	6
File Format	PDF
ISBN	9781467330640
ISSN	21530009
e-ISBN	9781467330633
e-ISBN	9781467330626
DOI	10.1109/ITSC.2012.6338618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Detectors Smoothing methods Traffic control Automation Educational institutions
Content Type	Text
Resource Type	Article

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