Course detail

Traffic Engineering (DST)

FAST-NMB010Acad. year: 2023/2024

Basic theory of traffic flow, capacity calculations of road sections and crossroads, Theory of traffic control on signalized crossings, szstem of traffic organization in towns and cities.
Use of new control technologies for capacity raise and traffic monitoring.
Data collection and data processing in traffic flow and in public transport.
Basis of microscopic and macroscopic traffic flow model.
Modelling of different types of crossings in standard programs.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Department

Institute of Road Structures (PKO)

Entry knowledge

Text processing, spreadsheets, elementary knowledge of CAD, mathematics, physics.

Rules for evaluation and completion of the course

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Aims

Principles of traffic engineering, traffic flow theory, traffic data collection and processing, capacity calculations, forecasting, traffic control and organisation.
Students understand principles of traffic flow phenomena, and they get knowledge of traffic engineering methods. They are able to collect traffic data, process and analyze them. They know capacity calculations, forecasting, traffic control and organisation.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme NPC-SIK Master's 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Syllabus

1. Introduction to traffic engineering, traffic engineering branches. 2. Transportation systems categories. 3. Traffic flow theory. 4. Capacity calculations – free highway segment. 5. Capacity calculations – uncontrolled intersections. 6. Capacity calculations – roundabouts. 7. Capacity calculations – Traffic light controlled intersections. 8. Traffic data collection systems. 9. Traffic studies – individual vehicle transport. 10. Traffic studies – public transport. 11. Mathematical transport models – individual vehicle transport. 12. Mathematical transport models – public transport. 13. Traffic forecasting systems, traffic control and organisation.

Exercise

26 hod., compulsory

Teacher / Lecturer

Syllabus

1. VBA. 2. Veveří/Kounicova – introduction. 3. Veveří/Kounicova – 1st traffic survey. 4. Veveří/Kounicova – 2nd traffic survey. 5. Veveří/Kounicova – survey of control plans, queue lengths. 6. Veveří/Kounicova – data processing. 7. Veveří/Kounicova – designing and calculations. 8. Veveří/Kounicova – designing and calculations. 9. Veveří/Kounicova – 1st presentation. 10. Veveří/Kounicova – finalization of designing and calculations. 11. Veveří/Kounicova – finalization of designing and calculations. 12. Veveří/Kounicova – 2nd presentation.