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https://www.researchgate.net/publication/3427890_Travel-Time_Prediction_With_Support_Vector_Regression
Travel-Time Prediction With Support Vector Regression Article (PDF Available) in IEEE Transactions on Intelligent Transportation Systems 5(4):276 - 281 · January 2005 with 1,117 Reads
https://ieeexplore.ieee.org/document/1364002/
Accurate travel-time prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. We apply support vector regression (SVR) for travel-time prediction and compare its results to other baseline travel-time prediction …Cited by: 952
https://www.researchgate.net/publication/4048099_Travel_time_prediction_with_support_vector_regression
Travel time prediction is essential for the development of advanced traveler information systems. In this paper, we apply support vector regression (SVR) for travel-time predictions and compare ...
https://www.csie.nuk.edu.tw/~wuch/publications/2003-itsc-svr.pdf
Abstract—Travel time prediction is essential to the development of advanced traveler information systems. In this paper, we apply support vector regression (SVR) for travel-time predictions and compare its results to other baseline travel-time
https://dl.acm.org/citation.cfm?id=2218723
Travel time is a fundamental measure in transportation. Accurate travel-time prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. We apply support vector regression (SVR) for travel-time ...Cited by: 952
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.7229
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—Travel time is a fundamental measure in transportation. Accurate travel-time prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. In this paper, we apply support vector regression (SVR) for travel-time prediction and compare its ...
http://www.iis.sinica.edu.tw/papers/hoho/2844-F.doc
Abstract—Travel time prediction is essential to the development of advanced traveler information systems. In this paper, we apply support vector regression (SVR) for travel-time predictions and compare its results to other baseline travel-time prediction methods using real highway traffic data.
https://ieeexplore.ieee.org/document/1252721/
Abstract: Travel time prediction is essential for the development of advanced traveler information systems. In this paper, we apply support vector regression (SVR) for travel-time predictions and compare its results to the other baseline travel-time prediction methods using real highway traffic data.
http://publications.lib.chalmers.se/records/fulltext/251312/local_251312.pdf
Combining Support Vector Regression with Scaling Methods for Highway Tollgates Travel Time and Volume Predictions Amanda Yan Lin 1;2, Mengcheng Zhang , and Selpi1 Department of Mechanics and Maritime Sciences1 and Department of Computer Science and Engineering2, Chalmers University of Technology, SE-412 96 G oteborg, SwedenCited by: 1
https://file.scirp.org/pdf/JTTs_2013071113485617.pdf
tion. In this paper, the basic building blocks of the travel-time prediction models are discussed, with a small review of the previous work. A model for the travel-time prediction on freeways based on wavelet packet decomposition and support vector regression (WDSVR) is proposed, which used the multi-resolution and equivalent frequency distribution
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