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: Technology Agency of the Czech Republic

Program: Program aplikovaného výzkumu a experimentálního vývoje ALFA

English title

Verification of the implementation of continuous traffic load map using modern classification and prediction methods

Type

grant

Keywords

traffic load map; software application; model; traffic flow; prediction; artfical intelligence

Abstract

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.

Team members

Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT) , research leader
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT) , team leader
Koplík Karel, Ing. (DCGM FIT BUT)

Publications

2014

PETRLÍK Jiří, FUČÍK Otto and SEKANINA Lukáš. 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, vol. 8672. Heidelberg: Springer Verlag, 2014, pp. 802-811. ISBN 978-3-319-10761-5. Detail
PETRLÍK Jiří, FUČÍK Otto and SEKANINA Lukáš. 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, pp. 14-21. ISBN 978-1-4799-4498-9. Detail

2013

KADLČEK Filip and FUČÍK Otto. Fast and Energy Efficient AdaBoost Classifier. In: FPGAWorld'13. Copenhagen and Stockholm: Association for Computing Machinery, 2013, pp. 1-5. ISBN 978-1-4503-2496-0. Detail