Course Details

Selected Problems of Traffic Engineering

Academic Year 2023/24

NNB012 course is part of 1 study plan

NPC-SIK Winter Semester 2nd year

The aim of the transport telematics is quality and comfort escalation, mobility resource, transport safety escalation, transportation services improvement, as well as economy and effectiveness traffic processes, increasing. The latest knowledge from series branch’s, transport telematics, logistics, telecommunications, transport engineering, traffic town planner and traffic safety will be included in the content of this study.

Course Guarantor

Institute

Objective

The objective of the subject is to introduce students to the problems of transport telematics in roadway, railway and air transport.

Knowledge

A student acquires basic skills in problems of transport telematics in roadway, railway and air transport.

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.

Prerequisites

Common knowledge from transport, physics, mathematics and information technology.

Language of instruction

Czech

Credits

5 credits

Semester

winter

Forms and criteria of assessment

course-unit credit

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

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.