Academy of Technical and
Art Applied Studies Belgrade

Traffic Modeling and Simulation Course code: 218031 | 8 ECTS credits

Basic information
Level of Studies: Undergraduate applied studies
Year of Study: 2
Semester: 4
Requirements:
Goal: Introducing students to the basic terms and definitions in the field of decision support systems, modeling, and simulation, simulation methodology, methods and tools, stochastic and deterministic processes, discrete and continuous traffic processes, traffic modeling and simulation, simulation experiments, analysis of simulation results, and preparation of documentation as a basis for the decision making process.
Outcome: Students will be able to define the basic concept, characteristics, and benefits of decision support systems,
to apply the acquired knowledge in the decision-making process in traffic planning, to identify stochastic, deterministic, discrete, and continuous processes in traffic, to apply simulation methodology, to create simulation model, to perform simulation experiments, to analyze the results of simulation experiments, and to prepare documentation relevant for the decision-making process in traffic planning.

Contents of the course
Theoretical instruction:
  1. Basic terms and definitions in the field of decision support systems.
  2. Introduction to traffic modeling and simulation
  3. Classification of traffic simulation models (microscopic, mesoscopic, macroscopic, and metascopic models).
  4. Characteristics of traffic process (stochastic, deterministic, discrete, and continuous traffic processes).
  5. Computer based traffic simulation, a review of simulation languages, traffic simulation tools and software.
  6. Traffic simulation modeling project.
  7. Input data preparation, the development of a simulation model, calibration, validation and verification of the model, simulation experiments, output results, analysis of the results of simulation experiments.
  8. Trends of traffic and transportation simulation
  9. Traffic modeling and simulation for integrated intelligent transportation systems developing.
  10. Traffic and transportation simulators.
Practical instruction (Problem solving sessions/Lab work/Practical training):
  1. Practical instruction is followed by a lecture program. 
1. Modeling and simulation of traffic on a section of the real network using available simulation tools and software.

Textbooks and References
  1. Radenković, B., Stanojević, M., Marković, A., "Računarska simulacija", FON i Saobraćajni fakultet, udžbenik, Beograd, 2010.
  2. Čičak, M., "Modeliranje u železničkom saobraćaju", udžbenik, Univerzitet u Beogradu, Saobraćajni fakultet, 2003.
  3. Milanović, Z., Doktorska disertacija "Elektronsko poslovanje u planiranju saobraćaja zasnovano na modularnoj primeni mikro-simulacionih modela", Megatrend Univerzitet Fakultet za poslovne studije, Beograd, 2012.
  4. Huerlimann, D
Number of active classes (weekly)
Lectures: 3
Practical classes: 3
Other types of classes: 0
Grading (maximum number of points: 100)
Pre-exam obligations
Points
activities during lectures
0
activities on practial excersises
0
seminary work
0
colloquium
0
Final exam
Points
Written exam
0
Oral exam
0