Arvutiteaduse instituut
  1. Kursused
  2. 2019/20 sügis
  3. Arukad Transpordisüsteemid (MTAT.08.040)
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Arukad Transpordisüsteemid 2019/20 sügis

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  • Lectures
  • Practicals
  • Projects
  • Readings

Welcome to ITS Course

  • Lectures: Tuesday at 14:15, Ülikooli 17, room 218
  • Practicals: Friday at 10:15, Ülikooli 17, room 511
  • Lecturer: Amnir Hadachi (amnir.hadachi@ut.ee)
  • Lab Assistant: Artjom Lind (artjom.lind@ut.ee)

Course discussion forum

Note: Forum will be available starting from the second week

Office Hours:

- Thursdays: 9h00 till 12h00
' You can also take an appointment by Email '

Objective

The purpose of this course is to enlighten the importance of the use of information and communications technologies in transport through Intelligent Transportation Systems (ITS). The course will introduce to the students the basic concepts and principles of systems integration and technology implementation as applied to intelligent transportation systems. Moreover, the course will cover the key technologies in sensing, communication and data management and techniques for system evaluation, including automatic vehicle location and identification, dynamic control systems, travel information systems and incident detection systems. In addition the course gives an overview of ITS products and services as well as economic, social and environmental issues in ITS implementation.

Topics

This class will include but not limited to the following topics:

  • Introduction to ITS: definition, roles and involvement.
  • Advanced Traveler Information Systems (ATIS)
  • Advanced Transportation Management Systems (ATMS)
  • ITS services: Advanced Public Transportation Systems (APTS), Commercial Vehicle Operation (CVO), etc
  • ITS and technologies: Automated highway systems (AHS), Autonomous Vehicles, Intelligent Infrastructures, etc
  • Critical ITS issues: ITS and security, ITS and safety, human factors, privacy, sustainability, etc
  • The future of ITS

Grading:

Attendance and participation: 15%
Practicals: 20%
Project: 25%
MidTerm Exam: 20%
Final Exam: 20%
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Tehniliste probleemide või küsimuste korral kirjuta:

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