Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Transport Network Planning (models) (PhD)
2. Subject name in Hungarian Közlekedési hálózattervezés (modellek) (PhD)
3. Code BMEKOKUD008 4. Evaluation type exam grade 5. Credits 3
6. Weekly contact hours 1 (0) Lecture 0 (0) Practice 1 (0) Lab
7. Curriculum
PhD Programme
8. Role
Specific course
9. Working hours for fulfilling the requirements of the subject 90
Contact hours 28 Preparation for seminars 0 Homework 30
Reading written materials 10 Midterm preparation 12 Exam preparation 10
10. Department Department of Transport Technology and Economics
11. Responsible lecturer Dr. Tóth János
12. Lecturers Dr. Tóth János, Aba Attila
13. Prerequisites  
14. Description of lectures
Transport network systems and their elements, the aim and process of transport network planning. The characteristics of transport demands. The elements of transport models, their application in network building. Transport network planning models: Trip generation, trip distribution, modal choice, traffic assignment. Detailed examination of traffic assignment models.
15. Description of practices
 
16. Description of labortory practices
The software of Transport network planning is introduced.
17. Learning outcomes
A. Knowledge
  • Familiar with goal and process of transport network planning.
B. Skills
  • Ability to use of VISUM software.
C. Attitudes
  • Strive to acquire the highest level of system approach.
D. Autonomy and Responsibility
  • Responsible applies of acquired knowledge in individual or in team work.
18. Requirements, way to determine a grade (obtain a signature)
The criterion of the signature (and to take the exam) is to solve the chosen project till the deadline and to write the midterm exam at least an acceptable level. The exam is written.
19. Opportunity for repeat/retake and delayed completion
Second test possibility for those not present on the test, possibility of delayed deadline for home work.
20. Learning materials
 
Effective date 27 November 2019 This Subject Datasheet is valid for 2023/2024 semester I