Towards Robust and Accurate Traffic Prediction Using Parallel Multiobjective Genetic Algorithms and Support Vector Regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117000" target="_blank" >RIV/00216305:26230/15:PU117000 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/10886/" target="_blank" >https://www.fit.vut.cz/research/publication/10886/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ITSC.2015.360" target="_blank" >10.1109/ITSC.2015.360</a>
Alternative languages
Result language
angličtina
Original language name
Towards Robust and Accurate Traffic Prediction Using Parallel Multiobjective Genetic Algorithms and Support Vector Regression
Original language description
The support vector regression (SVR) is a very successful method in solving many difficult tasks in the area of traffic prediction. However, the performance of SVR is very sensitive to the parameters setting and the selection of input variables such as sensors providing the input data. In this paper, we describe a new method, which simultaneously optimizes the meta-parameters of SVR model and the subset of its input variables. The method is based on a multiobjective genetic algorithm. The proposed implementation is intended for a parallel environment supporting OpenMP. We evaluated the method in the tasks of data imputation, short term prediction of traffic variables and travel times prediction using real world open data. It was confirmed that the simultaneous optimization of SVR parameters and input variables provides better quality of prediction than previous methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2015 IEEE 18th International Conference on Intelligent Transportation Systems
ISBN
978-1-4673-6596-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
2231-2236
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Las Palmas de Gran Canaria
Event date
May 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000376668802050