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Methods of Transport Prognostics

Type of study Follow-up Master
Language of instruction Czech
Code 342-0577/05
Abbreviation MDP
Course title Methods of Transport Prognostics
Credits 3
Coordinating department Institute of Transport
Course coordinator doc. Ing. Michal Dorda, Ph.D.

Subject syllabus

1. Introduction to traffic forecasting, exploratory data analysis - introduction, measures of central tendency.
2. Exploratory data analysis - measures of dispersion, outlier identification, large random sample processing.
3. Random vector and its description, covariance, simple correlation coefficient.
4. Independence testing in the combination table.
5. Introduction to time series - basic concepts, division of time series.
6. Time series trend analysis - linear trend, parabolic trend, exponential trend.
7. Time series trend analysis - modified exponential trend, logistic curve, Gompertz curve.
8. Correlation analysis - Pearson's correlation coefficient, linear independence testing.
9. Regression analysis - basic concepts, types of regression functions, least squares method and its application in estimating the parameters of a regression function, multiple regression.
10. Four-phase model of traffic forecast - calculation of prospective traffic volumes - use of regression analysis, methods of specific momentum.
11. Four-phase model of traffic forecast - determination of interregional relations - analogous methods.
12. Four-phase model of traffic forecast - determination of interregional relations - synthetic methods.
13. Four-phase model of traffic forecast - division of transport work, allocation to the network.
14. Reserve.

E-learning

lms.vsb.cz

Literature

Briš,R.-Škňouřilová,P.:Statistics I. VŠB-TU Ostrava, 2007.
Hill,T.-Lewicki,P.: Statistics : methods and applications : a comprehensive reference for science, insdustry and data mining. StatSoft, Tulsa, 2006, 832 pp. ISBN 1-884233-59-7.

Advised literature

Briš,R.-Škňouřilová,P.:Statistics I. VŠB-TU Ostrava, 2007.
Hill,T.-Lewicki,P.: Statistics : methods and applications : a comprehensive reference for science, insdustry and data mining. StatSoft, Tulsa, 2006, 832 pp. ISBN 1-884233-59-7.