Course detail

Modern Trends in Traffic Engineering (DST)

FAST-NMB011Acad. year: 2021/2022

Introduction to basic principles of traffic engineering measurements and their design. Data manipulation, editing and aggregation. Statistical evaluation of data. Presentation of measurement results. Processing of engineering data using GIS. Microscopic pedestrian models.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Jiří Apeltauer, Ph.D.

Department

Institute of Road Structures (PKO)

Learning outcomes of the course unit

Students understand standard theories of traffic flo and processes in traffic flow. They get familiarized with modelling techniques and with basic phenomena in traffic flow. They gain knowledge of new telematic technologies and their objectives.

Prerequisites

Basic knowledge of mathematics, PC work and road design.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Equipment for automated collection of high-resolution transport engineering data.
Critical and followed time, their impact on junction capacity.
Collection of traffic engineering data.
Tools for processing and displaying "big data".
Fundamentals of mathematical statistics in traffic engineering.
Fundamentals of measurement error theory.
Fundamentals of publishing and presentation of technical texts.
Presentation of the results of the semester work.
Microscopic pedestrian models in traffic engineering I.
Microscopic pedestrian models in traffic engineering II.
Geographic information systems in traffic engineering I.
Geographic information systems in traffic engineering II.
Basics of publishing technical maps.

Work placements

Not applicable.

Aims

Traffic flow theory knowledge, modelling techniques skill. Understanding of basic phenomena in traffic flow. New telematic technologies overview.

Specification of controlled education, way of implementation and compensation for absences

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

Recommended optional programme components

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

prof. Dr.techn. Ing. Michal Varaus
Ing. Jiří Apeltauer, Ph.D.

Syllabus

Equipment for automated collection of high-resolution transport engineering data. Critical and followed time, their impact on junction capacity. Collection of traffic engineering data. Tools for processing and displaying "big data". Fundamentals of mathematical statistics in traffic engineering. Fundamentals of measurement error theory. Fundamentals of publishing and presentation of technical texts. Presentation of the results of the semester work. Microscopic pedestrian models in traffic engineering I. Microscopic pedestrian models in traffic engineering II. Geographic information systems in traffic engineering I. Geographic information systems in traffic engineering II. Basics of publishing technical maps.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Jiří Apeltauer, Ph.D.

Syllabus

Assignment of semestral work – evaluation of critical and subsequent time. Consultation of selected site for the collection of traffic engineering data. Collection of traffic engineering data. Evaluation of acquired data and their evaluation. Consultation of measurement results. Practical evaluation of traffic engineering data I. Practical evaluation of traffic engineering data II. Presentation of the results of the semester work. Microscopic pedestrian model in the transfer node I. Microscopic pedestrian model in the transfer node II. Presentation of the transition node model. Qgis for Traffic Engineering I. Qgis for Traffic Engineering II.