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Lecturer(s)
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Potužák Tomáš, Ing. Ph.D.
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Course content
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1. History and principles of traffic modeling, relations of traffic modelling and traffic state simulation. 2. Traffic flow theory, macroscopic traffic models. 3. Microscopic traffic models. 4. Mesoscopic and hybrid traffic models. 5. Calibration and validation of traffic model. 6. Interconnection of traffic model with other models (e.g., air and noice pollution) used in digital twins of smart cities. 7. Reserve, discussion.
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Learning activities and teaching methods
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- Contact hours
- 52 hours per semester
- Individual project (40)
- 50 hours per semester
- Preparation for an examination (30-60)
- 28 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| - to practically use the obtained knowledge of basic math subjects including graphs, matrices, and numerical computations |
| - to practically use the obtained knowledge of basic programming-focused subjects |
| - to read and understand the documentation in English |
| Skills |
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| - to use computer and operating system on advanced user level |
| - to use new program tools with various, but standard user interface |
| - to write algorithms of simple problems |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| - to describe basic elements and principles of traffic modeling |
| - to describe traffic models with different level of detail |
| - to describe interconnection of various traffic and other models |
| - to describe principles and course of a simulation experiment |
| Skills |
|---|
| - to perform a basic simulation experiment in a program tool (from settings of input parameters to collection of output data) |
| - to use existing simulation tools and traffic models for specific experiments |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Lecture supplemented with a discussion |
| Task-based study method |
| Skills demonstration |
| Self-study of literature |
| One-to-One tutorial |
| Discussion |
| Skills |
|---|
| Lecture |
| Lecture supplemented with a discussion |
| Interactive lecture |
| Practicum |
| Task-based study method |
| Skills demonstration |
| Individual study |
| One-to-One tutorial |
| Discussion |
| Competences |
|---|
| Lecture |
| Lecture supplemented with a discussion |
| Interactive lecture |
| Practicum |
| Task-based study method |
| Individual study |
| One-to-One tutorial |
| Discussion |
| assessment methods |
|---|
| Knowledge |
|---|
| Written exam |
| Skills demonstration during practicum |
| Continuous assessment |
| Skills |
|---|
| Written exam |
| Skills demonstration during practicum |
| Continuous assessment |
| Competences |
|---|
| Written exam |
| Skills demonstration during practicum |
| Continuous assessment |
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Recommended literature
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M. Krbálek, J. Vacková. Matematické modelování dopravy. Praha, 2022. ISBN 9788001069585.
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