Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Transport automation
2. Subject name in Hungarian Közlekedési automatika
3. Code BMEKOKAM202 4. Evaluation type mid-term grade 5. Credits 4
6. Weekly contact hours 2 (9) Lecture 1 (5) Practice 0 (0) Lab
7. Curriculum
Transportation Engineering MSc (K)
8. Role
Mandatory (mc) at Transportation Engineering MSc (K)
9. Working hours for fulfilling the requirements of the subject 120
Contact hours 42 Preparation for seminars 8 Homework 22
Reading written materials 42 Midterm preparation 6 Exam preparation 0
10. Department Department of Control for Transportation and Vehicle Systems
11. Responsible lecturer Dr. Sághi Balázs
12. Lecturers Dr. Baranyi Edit, Dr. Bede Zsuzsa, Lövétei István
13. Prerequisites  
14. Description of lectures
Basic definitions.
Development of safety-realted systems (concept, system definition, hazard- and risk -analysis, specification of system requirements, architecture and apportionment of system requirements, design and implemetation, manufacture, integration, system validation, system acceptance, certification, authorization).
Failure management of safety-critical systems. Syafety criterias: system requirements, the safety case.
Hazard analysis: FMEA, FMEDA, FMECA, FTA, HTA, HAZOP; hazard analysis during the lifecycle.
Risk analysis. Consequences of the faulty operation - severity. Probability of the faulty operation. Risk classification. Safety Integrity Levels.
Development process of safety-related systems. System lifecycle models and management. Failure management. Human aspects of the safety. Safety analysis. Safety management.
Safety-crtical softwares. Programming of safety-critical softwares. Data security. Program protection Plan. Protection of the RAM.
Safety-critical hardware. Hardware redundancy. Safety strategies.
Formal methods and its application in safety-realted systems.
15. Description of practices
In practices, students must be mastered in hazard- and risk analysis methods (FMEA, FMEDA, FMECA, FTA, HTA, HAZOP).
16. Description of labortory practices
17. Learning outcomes
A. Knowledge
  • is familiar with the concepts and mathematical apparatus of safety, and risk analysis
  • is familiar with the development methods of safety-critical systems and safety architectures
  • is familiar with the numerical descriptive tools of reliability and the related calculation methods
B. Skills
  • capable of performing safety calculations based on a specification
  • can perform risk analysis calculations
C. Attitudes
  • is interested in the safety and risk issues of sifferent transport means
D. Autonomy and Responsibility
  • is able to consult in a team in algorithmic and programming tasks, to make independent decision
18. Requirements, way to determine a grade (obtain a signature)
Students must carry out individually a hazard and risk analysis of a designated system.
One midterm exam need to be written. The midterm grade is the average of the results from individual analysis and the midterm exam.
19. Opportunity for repeat/retake and delayed completion
The midsemester exam can be retried once, the individual analysis can be delayed completed.
20. Learning materials
Storey: Safety-Critical Computer Systems Addison-Wesley 1996
Braband, J.: Risikoanalysen in der Eisenbahn-Automatisierung Eurailpress 2005
Lecture Notes
Effective date 10 October 2019 This Subject Datasheet is valid for Inactive courses