Course code TraZM009

Credit points 6

Smart Transport Systems

Total Hours in Course

Number of hours for lectures32

Number of hours for seminars and practical classes16

Number of hours for laboratory classes0

Independent study hours114

Date of course confirmation13.12.2023

Responsible UnitInstitute of Engineering and Energetics

Course developer

author prof.

Gints Birzietis

Dr. sc. ing.

Course abstract

The aim of the study course is to introduce students to the concept and tasks of the smart transport system, as well as the basic components, applied solutions and technologies of the smart transport system. In the practical work, learn practical skills in the analysis and evaluation of certain smart transport technological solutions found in practice.

Learning outcomes and their assessment

Knowledge. Acquires in-depth theoretical and practical knowledge, as well as understanding of the concept and tasks of the smart transport system, its structure, operating principles, proposed solutions and development perspectives - 1.-6. test. Skills. Can independently use theory and knowledge to evaluate the possibilities of implementing smart transport solutions in local and international transport systems - practical work.
Competences. Able to independently critically analyze the problems related to the implementation of a smart transport system, justify the decisions made, as well as improve transport solutions by developing a smart and sustainable transport system - practical works. Able to prepare presentations and informative materials about intelligent transport system solutions, as well as to argue their point of view - homework.

Course Content(Calendar)

In full-time studies:
1. The concept and nature of the smart transport system. (4h)
2. Smart transport infrastructure. Roads and railways. Ports. Airports. Smart cities. (2h)
3. Smart transportation. Cargo transport. Public transport. (2h)
4. Smart mobility. Mobility as a service. (2h)
1. practical work. Practical examples of smart transport system components, their characteristics, benefits and shortcomings. (4h)
5. Automatic control systems. (2h)
6. Diagnostic and maintenance systems. (2h)
7. Traffic control systems. (2h)
8. Automatic payment systems. (1h)
9. On-board systems. (1h)
10. Data analytics. (1h)
11. Security systems. (2h)
12. Autonomous vehicles. (2h)
13. Data Monetization. (1h)
2. practical work. Practical examples of technological solutions of smart transport elements, their characteristics and evaluation. (4h)
14. Developing Services. Technology and cloud services. Mobile applications. (2h)
15. Developing technologies. Artificial Intelligence. Cyber security. Internet of things. Virtual reality. Blockchain. Digital twins. (2h)
3. practical work. Applications of developing services and technologies in smart transport solutions, evaluation of their practical examples. (3h)
16. Development of intelligent transport systems (ITS) in Latvia. (4 hours)
Seminar. Existing and potential applications of ITS in Latvia and their evaluation (6h)

Requirements for awarding credit points

Successfully passed all tests and passed practical work and seminars. Examination type - assessment with a mark.

Description of the organization and tasks of students’ independent work

Preparation for seminars and tests.

Criteria for Evaluating Learning Outcomes

The evaluation of the study course is formed from the average arithmetical result of all test evaluations. All practical works and seminars must be passed.

Compulsory reading

1. The Routledge handbook of transportation / edited by Dušan Teodorović. New York, NY : Routledge, Taylor & Francis Group, 2016. xxviii, 456 lpp. : ilustrācijas ; 26 cm. Routledge handbooks . ISBN 9781138798212;
2. The transport system and transport policy : an introduction / edited by Bert van Wee, Jan Anne Annema, David Banister. Cheltenham, UK; Northampton, MA : Edward Elgar, [2013] xxiv, 399 lpp. : ilustrācijas, tabulas ; 25 cm ISBN 9780857936899;
3. Intelligent Sensor Networks. The Integration of Sensor Networks, Signal Processing and Machine Learning. Edited ByFei Hu, Qi Hao. 1st Edition. Boca Raton. CRC Press. 2013. 674.lpp. eBook ISBN 9780429066962
4. Vehicle-to-vehicle and vehicle-to-infrastructure communications : a technical approach/ edited by Fei Hu. Boca Raton : Taylor & Francis, CRC Press, 2018. ISBN 9781138706835
5. Yunpeng Wang, Daxin Tian, Zhengguo Sheng, and Jian Wang. Connected Vehicle Systems: Communications, Data, and Control. Boca Raton : Taylor & Francis, CRC Press, 2017.

Further reading

1. Klein, Lawrence A. ITS sensors and architectures for traffic management and connected vehicles / Boca Raton : Taylor & Francis, CRC Press, 2017. ISBN 9781138634077 | ISBN 9781315206905 (ebook)
2. Names: Banks, Victoria A., Stanton, Neville A.
Automobile automation : distributed cognition on the road. Boca Raton : CRC Press, 2017.ISBN 9781138196834 (pbk. : acid-free paper), ISBN 9781315295657 (ebook)

Periodicals and other sources

1. Intelligent Transport, Russell Publishing Ltd, Kent, United Kingdom. https://www.intelligenttransport.com/

Notes

Compulsory course in the master's study program Agricultural Engineering.