Výzkum užitečný pro společnost.
Project Details
Ověření realizace spojité zátěžové mapy pomocí moderních klasifikačních a predikčních metod
Project Period: 1. 1. 2012 – 31. 12. 2014
Project Type: grant
Code: TA02030915
Agency: Technologická agentura ČR
Program: Program aplikovaného výzkumu a experimentálního vývoje ALFA
traffic load map; software application; model; traffic flow; prediction; artfical intelligence
The 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.
Koplík Karel, Ing.
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
2014
- 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 - 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
2013
- 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