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Project detail
Duration: 01.01.2012 — 31.12.2014
Funding resources
Technologická agentura ČR - Program aplikovaného výzkumu a experimentálního vývoje ALFA
- whole funder (2012-01-01 - 2014-12-31)
On the project
Cílem projektu je vytvořit parametrizovatelnou softwarovou aplikaci, která umožní na komunikacích v městských aglomeracích stanovit parametry dopravního proudu v místech neosazených detektory dopravy.
Description in EnglishThe aim of the project is to create a parameterizable software application that determines the parameters of traffic flow in areas that are not equipped with traffic detectors on the roads in urban areas.
Keywordszátěžová mapa; softwarová aplikace; model; dopravní proud; predikce;umělá inteligence
Key words in Englishtraffic load map; software application; model; traffic flow; prediction; artfical intelligence
Mark
TA02030915
Default language
Czech
People responsible
Koplík Karel, Ing. - fellow researcherFučík Otto, doc. Dr. Ing. - principal person responsible
Units
Department of Computer Systems- (2011-11-08 - 2014-12-31)Faculty of Information Technology- (2011-11-08 - 2014-12-31)
Results
KADLČEK, F.; FUČÍK, O. Fast and Energy Efficient AdaBoost Classifier. FPGAWorld'13. Copenhagen and Stockholm: Association for Computing Machinery, 2013. p. 1-5. ISBN: 978-1-4503-2496-0.Detail
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.Detail
PETRLÍK, J.; FUČÍK, O.; SEKANINA, L. Multiobjective Selection of Input Sensors for SVR Applied to Road Traffic Prediction. In Parallel Problem Solving from Nature - PPSN XIII. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2014. p. 802-811. ISBN: 978-3-319-10761-5.Detail