Publication Details

Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression

PETRLÍK, J.; FUČÍK, O.; SEKANINA, L. Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression. In 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 14-21. ISBN: 978-1-4799-4498-9.

Czech title

Výběr vhodných vstupních senzorů pro predikci dojezdových dob s využitím support vector regression

Type

conference paper

Language

English

Authors

Petrlík Jiří, Ing., Ph.D. (RG EHW)
Fučík Otto, doc. Dr. Ing. (DCSY)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)

Keywords

travel times forecasting, support vector regression, feature selection,
multiobjective genetic algorithm

Abstract

In this paper we propose a new method for travel time prediction using a support
vector regression model (SVR). The inputs of the method are data from license
plate detection systems and traffic sensors such as induction loops or radars
placed in the area. This method is mainly designed to be capable of dealing with
missing values in traffic data. It is able to create many different SVR models
with different input variables. These models are dynamicaly switched according to
which traffic variables are currently available. The proposed method was compared
with a license plate based prediction approach. The results showed that the
proposed method provides a prediction of better quality. Moreover, it is
available for a longer period of time.

Published

2014

Pages

14–21

Proceedings

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems Proceedings

Conference

IEEE Symposium Series on Computational Intelligence, Orlando, US

ISBN

978-1-4799-4498-9

Publisher

Institute of Electrical and Electronics Engineers

Place

Piscataway

DOI

10.1109/CIVTS.2014.7009472

UT WoS

000366635900004

EID Scopus

2-s2.0-84922569977

BibTeX

@inproceedings{BUT111629,
  author="Jiří {Petrlík} and Otto {Fučík} and Lukáš {Sekanina}",
  title="Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression",
  booktitle="2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems Proceedings",
  year="2014",
  pages="14--21",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Piscataway",
  doi="10.1109/CIVTS.2014.7009472",
  isbn="978-1-4799-4498-9"
}