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Advanced Methods of Transport Prognoses

Anotace

The graduate will master the problems of general classical prognostic models based on mathematical statistics (methods of descriptive statistics, statistical theory of estimation, testing of statistical hypotheses, regression and correlation analysis and time series analysis) as well as problems of prognostic models based on unconventional approaches (methods of operational analysis, neural networks). From the field of special prognostic models designed for the needs of transport systems, attention will be focused on modern trends in the development of gravitational models, methods of specific momentum etc.

Povinná literatura

ORTÚZAR SALAS, Juan de Dios a G WILLUMSEN, Luis. Modelling transport. 4th ed. Chichester: John Wiley, c2011. ISBN 978-0-470-76039-0 .

Doporučená literatura

HENSHER, David A.; BUTTON, Kenneth J. (ed.). Handbook of transport modelling. Emerald Group Publishing Limited, 2007.


Language of instruction čeština, angličtina
Code 342-0960
Abbreviation PMDP
Course title Advanced Methods of Transport Prognoses
Coordinating department Institute of Transport
Course coordinator doc. Ing. Michal Dorda, Ph.D.