Faculty of Technical Sciences

Subject: Transportation forecasting (17.S0I594)

Native organizations units: Department of Traffic Engineering
General information:
 
Category Professional-applicative
Scientific or art field Traffic Planning, Regulation and Safety
ECTS 6

Acquiring knowledge in the field of application and development of new mathematical traffic demand models. Application of computer technology for the purpose of analysis and forecast transportation demand on the national, regional and local-city level, as a function of the current and expected socio-economic and spatial development of areas which are the subject of analysis and forecast in relation to traffic demand.

Implementation, improvement and development of mathematical and statistical methods for the traffic demand forecasting. Acquisition of skills determining interdependencies between indicators of socio-economic development, land using, traffic demand and traffic supply. Acquiring knowledge in the field of using modern computer programs application for the testing transport policy effects and for the alignment of transport demand and supply.

Basic concepts and definitions of traffic demand. Temporal and spatial concentration of demand: causes and consequences. Basic concepts of prediction and forecasting. The importance and role of forecasts and / or prediction of traffic planning. Methods and procedures of forecasting: time series, regression analysis, cross- classification - category analysis. Application of the theory of probability to forecast traffic demand. Statistical evaluations of forecast results. Basic concepts and definitions of traffic supply, transport ability of vehicles, supply elements of transport networks. Alignment methods of transport demand and supply. Critical analysis of classical four step model. Target modal split model. Computer programs for testing and simulation of the harmonization effects of transport demand and supply.Appraisal of transport models.

Lectures, practical laboratory and computational exercises. This course enables students to perform independent assignment- seminar paper and examination through partial examinations.

Authors Title Year Publisher Language
Ortuzar, J.D., Willumsen, L.G. Modelling Transport 2011 Wiley, Chichester English
Road research Urban traffic models - possibilities for simplification 1974 OECD English
F.Koppelman, C.Bhat A self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models 2006 U.S. Department of Transportation English
Banister, D. Transport Planning 2002 Spon Press, New York English
Course activity Pre-examination Obligations Number of points
Lecture attendance Yes Yes 5.00
Final exam - part one No Yes 35.00
Exercise attendance Yes Yes 5.00
Final exam - part two No Yes 35.00
Term paper Yes Yes 20.00
API Image

Prof. Mirović Valentina

Full Professor

Lectures
API Image

Assoc. Prof. Mitrović Simić Jelena

Associate Professor

Practical classes
API Image

Assoc. Prof. Mitrović Simić Jelena

Associate Professor

Laboratory classes
API Image

Assoc. Prof. Mitrović Simić Jelena

Associate Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.