Course Details

Modern Trends in Traffic Engineering (DST)

Academic Year 2023/24

NMB011 course is part of 1 study plan

NPC-SIK Summer Semester 1st year

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.

Course Guarantor

Institute

Objective

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

Knowledge

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.

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.

Prerequisites

Basic knowledge of mathematics, PC work and road design.

Language of instruction

Czech

Credits

4 credits

Semester

summer

Forms and criteria of assessment

course-unit credit and examination

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

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

Offered to foreign students

Not to offer

Course on BUT site

Lecture

13 weeks, 2 hours/week, elective

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

13 weeks, 2 hours/week, compulsory

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.