Application of locally weighted regression-based approach in correcting erroneous individual vehicle speed data-Reference-Cited by-同舟云学术

Application of locally weighted regression-based approach in correcting erroneous individual vehicle speed data

Published:2015-08-03 Issue:2 Volume:50 Page:180-196
ISSN:0197-6729
Container-title:Journal of Advanced Transportation
language:en
Short-container-title:J. Adv. Transp.

Author:

Rim Heesub¹,Park Seri²,Oh Cheol¹,Park Junhyung³,Lee Gunwoo⁴

Affiliation:

1. Department of Transportation and Logistics Engineering; Hanyang University at Ansan; 55 Hanyangdaehak-ro, Sangnok-gu Ansan-si Kyunggi-do 426-791 Republic of Korea

2. Department of Civil and Environmental Engineering; Villanova Center for the Advancement of Sustainability in Engineering Villanova University; 800 E. Lancaster Avenue Villanova PA 19085 USA

3. Institute of Transportation Studies and Department of Civil and Environmental Engineering; University of California; Irvine, CA 92697 USA

4. Maritime Policy and Safety Department, Maritime Industry and Logistics Division; Korea Maritime Institute; KBS Media Center, 16F, Maebongsan-ro 45 Mapo-gu Seoul 121-270 Republic of Korea

Funder

National Research Foundation of Korea grant funded by the Korea government (MEST)

Publisher

Wiley

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/atr.1325/fullpdf

Reference31 articles.

1. Robust locally weighted regression and smoothing scatterplots;Cleveland;Journal of the American Statistical Association,1979

2. Sun H Liu HX Xiao H Ran B Short-term traffic forecasting using the local linear regression model 2002

3. Use of local linear regression model for short-term traffic forecasting;Sun;Transportation Research Record: Journal of the Transportation Research Board,2003

4. Li S Shen Z Xiong G A comparison of outlier detection algorithms for ITS data Proc. 15 th International IEEE Conference on Intelligent Transportation Systems 2012

5. Estimation of traffic dynamics models with machine-learning methods;Antoniou;Transportation Research Record: Journal of the Transportation Research Board,2006

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