Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Transport modelling
2. Subject name in Hungarian Forgalmi modellezés
3. Code BMEKOKKM229 4. Evaluation type exam grade 5. Credits 6
6. Weekly contact hours 1 (5) Lecture 0 (0) Practice 3 (16) Lab
7. Curriculum
Transportation Engineering MSc (K)
8. Role
Specialization (sp) at Transportation Engineering MSc (K)
9. Working hours for fulfilling the requirements of the subject 180
Contact hours 56 Preparation for seminars 30 Homework 30
Reading written materials 24 Midterm preparation 20 Exam preparation 20
10. Department Department of Transport Technology and Economics
11. Responsible lecturer Dr. Tóth János
12. Lecturers Aba Attila, Mátrai Tamás
13. Prerequisites  
14. Description of lectures
Basics of transport modelling. Process of transport network planning and application in VISUM szoftver. Traffic assignment models and their parameters. Network model, demand modell, impact model. Methods of traffic assignment in private and public transport. The theory of applied softwares. Microscopic modelling with VISSIM software. Traffic analyzing in a junction model.
15. Description of practices
16. Description of labortory practices
In the framework of individual work a modelling task is prepared.
17. Learning outcomes
A. Knowledge
  • Familiar with the basics of micro and macro modelling.
B. Skills
  • Able to use the softwares and apply modelling methodologies.
C. Attitudes
  • Attempts to routinely use modelling technics. 
D. Autonomy and Responsibility
  • Use softwares independently and responsibly.
18. Requirements, way to determine a grade (obtain a signature)
Signature: 1 midterm test from the macromodelling and 1 midterm test from micromodelling, 2 homeworks, 1 presentation about homeworks. Final grade equals to the result of written exam.
19. Opportunity for repeat/retake and delayed completion
Both midterm test correction possibility and possibility of delayed deadline for home work.
20. Learning materials
Presentation slides, manual of softwares.
Effective date 10 October 2019 This Subject Datasheet is valid for 2023/2024 semester I