Course Details

Selected Problems of Traffic Engineering

Academic Year 2025/26

NNB012 course is part of 1 study plan

​ NPC-SIK Winter Semester 2nd year

Course Guarantor

prof. Ing. Jaroslav Smutný, Dr.

Institute

Institute of Railway Structures and Constructions

Language of instruction

Czech

Credits

5 credits

Semester

winter

Forms and criteria of assessment

course-unit credit

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/295888

Lecture

13 weeks, 2 hours/week, elective

Syllabus

  • 1. Definition and basic concepts interpretation, fundamental mathematical apparatus.
  • 2. Introduction to the problems of relatively new mathematical techniques and outline them.
  • 3. utilisation in traffic control problems.
  • 4. Introduction to the problems of relatively new mathematical techniques and outline their utilisation in traffic control problems.
  • 5. Intelligent transport services, information about traffic obstruction and weather conditions.
  • 6. Information and navigational systems and their using in transport, black box, digital tachograph.
  • 7. Weighing vehicles problem, method, equipment, legislative.
  • 8. Telematics in road transport, current intelligent traffic control information systems: a) Automatic vehicle and cargo identification, b) Sensor for control and running crossing, c) Electronic road-toll, legislature, the method in our country and abroad.
  • 9. Telematics in railway transport: a) Railway safety equipment, b) Train safety systems, c) European railway traffic management system (ERTMS).
  • 10. Telematics in railway transport: a) Train positional locator on principle GPS/GNSS, b) Navigation satellite systems in the railway's safety technique, c) Railway mobile communications system, train automatic lead.

Exercise

13 weeks, 1 hours/week, compulsory

Syllabus

  • 1. Collecting traffic engineering data an example.
  • 2. Multi-agent systems – an example.
  • 3. Fuzzy logic – an application example.
  • 4. Fuzzy logic – an application example.
  • 5. Neural networks – an application example.
  • 6. Neural networks – an application example.
  • 7. Management of urban public transport – demonstration.
  • 8. Transport Company in Brno, excursion.
  • 9. RFID technology – demonstration.
  • 10. Credit test.