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Towards Robust and Accurate Traffic Prediction Using Parallel Multiobjective Genetic Algorithms and Support Vector Regression

PETRLÍK Jiří and SEKANINA Lukáš. Towards Robust and Accurate Traffic Prediction Using Parallel Multiobjective Genetic Algorithms and Support Vector Regression. In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems. Los Alamitos: IEEE Computer Society, 2015, pp. 2231-2236. ISBN 978-1-4673-6596-3.
Czech title
Zlepšení kvality a přesnosti dopravní predikce s použitím paralelního vícekriteriálního genetického algoritmu a support vector regression
Type
conference paper
Language
english
Authors
Keywords
road traffic forecasting, travel times, support vector regression, multiobjective genetic algorithm
Abstract
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.
Published
2015
Pages
2231-2236
Proceedings
2015 IEEE 18th International Conference on Intelligent Transportation Systems
Conference
18th IEEE International Conference on Intelligent Transportation Systems, Las Palmas de Gran Canaria, ES
ISBN
978-1-4673-6596-3
Publisher
IEEE Computer Society
Place
Los Alamitos, US
DOI
BibTeX
@INPROCEEDINGS{FITPUB10886,
   author = "Ji\v{r}\'{i} Petrl\'{i}k and Luk\'{a}\v{s} Sekanina",
   title = "Towards Robust and Accurate Traffic Prediction Using Parallel Multiobjective Genetic Algorithms and Support Vector Regression",
   pages = "2231--2236",
   booktitle = "2015 IEEE 18th International Conference on Intelligent Transportation Systems",
   year = 2015,
   location = "Los Alamitos, US",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-4673-6596-3",
   doi = "10.1109/ITSC.2015.360",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10886"
}
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