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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression (en)
skos:prefLabel	Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression (en)
skos:notation	RIV/00216305:26230/14:PU112034!RIV15-MSM-26230___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(TA02030915), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Fučík, Otto Sekanina, Lukáš Petrlík, Jiří
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	31065
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/14:PU112034
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	travel times forecasting, support vector regression, feature selection, multiobjective genetic algorithm (en)
http://linked.open.../riv/klicoveSlovo	travel times forecasting multiobjective genetic algorithm feature selection support vector regression
http://linked.open...ontrolniKodProRIV	[0546B8CD9EBC]
http://linked.open...v/mistoKonaniAkce	Orlando
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems Proceedings
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Verification of the implementation of continuous traffic load map using modern classification and prediction methods IT4Innovations Centre of Excellence
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Fučík, Otto Sekanina, Lukáš Petrlík, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-12-09 (xsd:date)
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/CIVTS.2014.7009472
http://purl.org/ne...btex#hasPublisher	Institute of Electrical and Electronics Engineers
https://schema.org/isbn	978-1-4799-4498-9
http://localhost/t...ganizacniJednotka	26230

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