Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Modelling and control of vehicles and traffic systems
2. Subject name in Hungarian Járműforgalmi rendszerek modellezése és irányítása
3. Code BMEKOKAM233 4. Evaluation type exam grade 5. Credits 6
6. Weekly contact hours 2 (11) Lecture 3 (17) Practice 0 (0) 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 70 Preparation for seminars 16 Homework 34
Reading written materials 23 Midterm preparation 12 Exam preparation 25
10. Department Department of Control for Transportation and Vehicle Systems
11. Responsible lecturer Dr. Varga István
12. Lecturers Dr. Tettamanti Tamás, Dr. Sághi Balázs, Dr. Varga István, Dr. Hrivnák István
13. Prerequisites  
14. Description of lectures
Air Transport:
Basic units of air traffic control. Air-ground communication ACC, APP, TMA. ACARS DATALINK. Airport transport systems. Modeling systems of civil aviation related to flow management. Civil aviation and air traffic control planning.
Road traffic:
Structure and operation of road traffic control systems. Characterization of road traffic, measurement of traffic technology parameters. Urban and highway traffic management theory: strategies, tools, software.
Road Measurement Technology: Smoothing, Filtering, Forecasting, Recursive Least Square Estimator, Kalman Filter, Moving Horizon Estimation.
Modeling and managing urban traffic: Store-and-forward model, LQ and MPC control.
Modeling and managing motorway traffic: LWR model, shock wave modeling, PID, LQ, nonlinear MPC methods.
Rail transport:
The task of railway traffic management, the levels of operation. Tools for scheduling planning and control. Positive and operative management tasks and solutions. The interlocking device as the basis for operational control. Special cases of train tracking, solutions. Train Track Control Solutions, Connection to Automatic Signaling, Disposal Criteria, Planning. Modeling of traffic management. Design of traffic control systems. Tools to support design.
15. Description of practices
A specific design task, simulation problems
16. Description of labortory practices
17. Learning outcomes
A. Knowledge
  • is familiar with the structure and operation of traffic control systems
  • knows the levels and methods of traffic modeling
B. Skills
  • capable of modeling traffic on a given network
  • is able to control a given subnet
  • is able to use and design a form for measuring and estimating systems
C. Attitudes
  • open to research traffic management systems
D. Autonomy and Responsibility
  • can independently design traffic contro
18. Requirements, way to determine a grade (obtain a signature)
Requirements: successful completion (min. 50%) of the midterm and submission of the seminar project report. The exam is the presentation of the seminar project. The final grade is calculated as the average of the mid-term and the seminar reporting activity.
19. Opportunity for repeat/retake and delayed completion
There is a retake option for the midterm and the homework can resubmitted upon request till the end of delayed completion period.
20. Learning materials
Lecture Notes
Effective date 10 October 2019 This Subject Datasheet is valid for Inactive courses