Subject: Transportation forecasting (17.S0I594 )
Native organizations units: Department of Traffic Engineering
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Traffic and Transport Engineering (Godina: 1, Winter) |
Educational goal:
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.
Educational outcome:
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.
Course content:
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.
Teaching methods:
Lectures, practical laboratory and computational exercises. This course enables students to perform independent assignment- seminar paper and examination through partial examinations.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2011 | English | |||
| 1974 | English | |||
| 2002 | English | |||
| 2006 | U.S. Department of Transportation | English | ||
| Maletin, M. | Planiranje saobraćaja i prostora | 2004 | Građevinski fakultet, Beograd | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Exercise attendance | Yes | Yes | 5.00 |
| Final exam - part one | No | Yes | 35.00 |
| Final exam - part two | No | Yes | 35.00 |
| Term paper | Yes | Yes | 20.00 |
| Lecture attendance | Yes | Yes | 5.00 |
Lecturers:
vanr. prof. dr Mitrović Simić Jelena
Associate Professor
Computational classes
vanr. prof. dr Mitrović Simić Jelena
Associate Professor
Practical classes
vanr. prof. dr Mitrović Simić Jelena
Associate Professor
Laboratory classes
prof. dr Mirović Valentina
Full Professor
Lectures
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.