Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Discrete event systems with traffic applications (PhD)
2. Subject name in Hungarian Diszkrét eseményű rendszerek és közlekedési alkalmazásaik (PhD)
3. Code BMEKOKAD015 4. Evaluation type exam grade 5. Credits 3
6. Weekly contact hours 2 (0) Lecture 0 (0) Practice 0 (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 6 Homework 24
Reading written materials 6 Midterm preparation 16 Exam preparation 10
10. Department Department of Control for Transportation and Vehicle Systems
11. Responsible lecturer Dr. Hangos Katalin
12. Lecturers Dr. Hangos Katalin
13. Prerequisites  
14. Description of lectures
Basic concepts and techniques for describing discrete-event systems: discrete-event systems theory, Petri nets and automatons, qualitative difference equations, rules and rule systems with time-dependent predicates, inference and search, graph-type models, effect graphs
Solving discrete-event system models, availability graph. Dynamic analysis of discrete-event systems: constraint, availability analysis, dead ends.
Model-based generation and verification of discrete control sequences. Direct and prediction diagnostics based on discrete-event system models.
Generalization of discrete-event system models to describe different classes of hybrid systems.
15. Description of practices
 
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge

  • The subject knowledge provides high-level theoretical knowledge to PhD students intending to delve into transport science to solve modeling, dynamic analysis, diagnostic, and control tasks in transport systems that can be described as discrete events
B. Skills   C. Attitudes   D. Autonomy and Responsibility  
18. Requirements, way to determine a grade (obtain a signature)
An individual task for modeling and dynamic analysis of a simple discrete event transport system. The prerequisite for obtaining the signature and for passing the exam is the complete and timely submission of the individual student assignment. The exam is oral.
19. Opportunity for repeat/retake and delayed completion
 
20. Learning materials
1. C. G. Cassandras, S. Lafortune: Introduction to Discrete Event Systems. Springer, 2008.
2. Lakner R., Hangos K., Gerzson M.: Intelligens irányító rendszerek. Tzpotex Kiadó, Bp. 2011. pp. 1.-87.
Effective date 27 November 2019 This Subject Datasheet is valid for Inactive courses