Multiobjective Selection of Input Sensors for Travel Times Forecasting Using 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%2F14%3APU112034" target="_blank" >RIV/00216305:26230/14:PU112034 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CIVTS.2014.7009472" target="_blank" >http://dx.doi.org/10.1109/CIVTS.2014.7009472</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CIVTS.2014.7009472" target="_blank" >10.1109/CIVTS.2014.7009472</a>
Alternative languages
Result language
angličtina
Original language name
Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression
Original language 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.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems Proceedings
ISBN
978-1-4799-4498-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
14-21
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Piscataway
Event location
Orlando
Event date
Dec 9, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000366635900004