Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Traffic modelling, simulation and control
2. Subject name in Hungarian Járműforgalom modellezése, szimulációja és irányítása
3. Code BMEKOKAM704 4. Evaluation type mid-term grade 5. Credits 4
6. Weekly contact hours 2 (28) Lecture 0 (0) Practice 2 (28) Lab
7. Curriculum
Autonomous Vehicle Control Engineering MSc (A)
8. Role
Mandatory (mc) at Autonomous Vehicle Control Engineering MSc (A)
9. Working hours for fulfilling the requirements of the subject 120
Contact hours 56 Preparation for seminars 14 Homework 19
Reading written materials 16 Midterm preparation 15 Exam preparation 0
10. Department Department of Control for Transportation and Vehicle Systems
11. Responsible lecturer Dr. Varga István
12. Lecturers Dr. Tettamanti Tamás, Dr. Luspay Tamás
13. Prerequisites  
14. Description of lectures
This subject gives a state-of-the-art introduction to road traffic automation and control. Students become familiar with the basic notions and theories, and get acquainted with the hardware/software architectures of road traffic control systems. Traffic detection technologies, road traffic controllers, as well as traffic control centers and monitoring systems are introduced. An introduction to the traffic modeling and traffic control theories are also provided. The students practice the basics of the traffic modeling through Matlab/Simulink and SUMO traffic simulator.
15. Description of practices
16. Description of labortory practices
Computer lab practices: micro. and macroscopic traffic modeling (MATLAB, SUMO).
Laboratory exercises: estimation of road parameters (smoothing, Recursive Least Square Estimator, Kalman Filter, MHE), model based control design (PID, LQ, MPC).
17. Learning outcomes
A. Knowledge
  • is familiar with the structure and operation of traffic control systems
  • knows the levels and methods of traffic modeling
  • know the traffic management strategies, tools and software for urban transport
  • knows the management solutions of public transport and highway systems
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 on the joint system of traffic management and autonomous vehicles
D. Autonomy and Responsibility
  • can independently design node controls
18. Requirements, way to determine a grade (obtain a signature)
Requirements: successful completion (min. 50%) of the midterm and submission of one homework. Weights of requirements in the mid-term grade: homework (1/3), midterm (2/3).
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
Tettamanti, T. ; Luspay, T. ; Varga, I. Road Traffic Modeling and Simulation Budapest, Magyarország : Akadémiai Kiadó (2019) ISBN: 9789634542957
Effective date 10 October 2019 This Subject Datasheet is valid for Inactive courses