Course: Intelligent Transportation Systems

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Course title Intelligent Transportation Systems
Course code KEV/IDS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech, English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Ševčík Jakub, Ing.
  • Přikryl Jan, Dr. Ing.
Course content
1. Sensors (vehicle sensors, traffic monitoring sensors) 2. V2X communication (vehicle-to-vehicle, vehicle-to-infrastructure, ETSI standards) 3. Collaborative ITS (C-ITS) 4. HD maps for vehicle positioning 5. Data pre-processing: cleaning, outlier removal, missing value processing 6. Standard data processing methods (regression, classification) 7. ITS applications in an urban context 8. ITS for public transport 9. ITS for urban traffic management 10. ITS on motorways (variable message signs, lane closures, ramp metering, accident detection) 11. ITS applications on railways 12. Cybersecurity of ITS systems 13. The future of ITS (new trends and technologies in ITS such as connected and autonomous vehicles, electromobility and smart cities and their potential impact on the transport industry).

Learning activities and teaching methods
Laboratory work, Lecture
  • Contact hours - 52 hours per semester
  • Preparation for formative assessments (2-20) - 8 hours per semester
  • Preparation for an examination (30-60) - 36 hours per semester
  • Presentation preparation (report) (1-10) - 8 hours per semester
learning outcomes
Knowledge
describe ITS as a set of information and communication technologies, sensors and control algorithms
describe the basic components and functions of telematics systems as an integral part of IT
explain the impact of ITS on safety, efficiency and comfort in transport
justify the environmental impact of ITS
explain the most important use cases of telematic sensors in different transport areas
Skills
build a simple traffic simulation model with ITS elements
teaching methods
Knowledge
Lecture
Self-study of literature
Skills
Practicum
Self-study of literature
assessment methods
Knowledge
Written exam
Oral exam
Skills
Written exam
Competences
Individual presentation at a seminar
Recommended literature
  • Amit Kumar Tyagi; ?Niladhuri Sreenath. Intelligent Transportation Systems: Theory and Practice. 2022.
  • Paolo Pagano. Intelligent Transportation Systems: From Good Practices to Standards. 2021.
  • Pavel Přibyl. Inteligentní dopravní systémy a dopravní telematika II. Praha; ČVUT FD. 2007.
  • Pavel Přibyl. Inteligentní dopravní systémy a dopravní telematika. Praha; ČVUT FD. 2005.
  • Pavel Přibyl; Miroslav Svítek. Inteligentní dopravní systémy. Praha, 2002. ISBN 80-7300-029-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester