Intelligent Transportation System

Major: Transport Technology (by type)
Code of subject: 8.275.00.M.024
Credits: 3.00
Department: Transport Technologies
Lecturer: PhD in Technical Sciences, Associate Professor, Associate Professor of Department of Transport technologies Mykola Zhuk
Semester: 4 семестр
Mode of study: денна
Learning outcomes: Knowledge: 1. Knowledge and understanding of scientific principles which are in the basics of formation of demand on transport services (KN4). 2. Knowledge of basis of national transport network formation, the interaction of it with transport systems of other countries (KN5). 3. In-depth knowledge of regularities of freight and passenger flows formation, organization of their control and the development of methods of transport processes organization based on the principles of logistics (KN6). 4. Knowledge and understanding of methodologies of design and modernization of methods, technologies and technical means of transportation for the organization of international, mixed, combined, intermodal transportation due to regulatory requirements of current standards and specifications (KN 8). 5. Acquisition of in-depth knowledge and understandings that relate to the specialty 275 Transport technologies (by types), which will be sufficient to organize and conduct scientific research successfully and successfully publicly defend their results on scientific seminars and specialized scientific councils (KN 12). Skills: 1. Systematically comprehend and use creativity to form principally new ideas in the field of transport (SC 3). 2. To combine the theory and practice, and also to make decisions and develop a strategy of activity for solving scientific-applied tasks in the field of transport considering universal values, public, state and industrial interests (SC 9). Autonomy and responsibility: 1. Ability to be responsible for the work performed, make decisions independently, achieve the goal in compliance with the requirements of professional ethics (AaR3).
Required prior and related subjects: System analysis in transport; Scientific bases of transport processes and systems; Modelling in transport systems
Summary of the subject: 1. Intelligent Transport Systems. The current state of ITS development. 2. Services, standards, architecture, and organization of ITS. 3. Standardization in the field of ITS. 4. Modern transport models as the foundation of ITS. 5. Fundamentals of transport model development. 6. Creation of simulation models. 7. Public transport modeling in PTV Visum. 8. Information system for forecasting and analyzing traffic situations: TransInfo-TrafficPlatform. 9. Internet of Things for the transport network.
Assessment methods and criteria: Mid-term assessment: defense of individual research training; defense of a report on practical works. Final assessment: written (in the form of three-level tests) and oral components The maximum total number of points for the discipline is 100 points. The maximum possible amount of points for mid-term assessment is 40 points, of which 25 points for the defense of individual research training and 15 points for the defense of a report on practical works. The maximum possible amount of points for the final assessment is 60 points, of which the written component is 55 points; the oral component is 5 points.
Recommended books: 1. Інтелектуальні транспортні системи. Модуль 4e. Стійкий розвиток транспортної системи: Збірник матеріалів для політиків міст – 46 с. 2. Меренков А. О. Основні етапи процеса реалізації інтелектуальних транспортних систем / А. О. Меренков // Вісник. – 2015. – №9. – С. 92–98. 3. Розумний транспорт і логістика для міст: навчальний посібник / [авт. колектив: О. О. Лобашов, М. В. Ольхова, А.С. Галкін та ін.] – Житомир: «Житомирська політехніка», 2021. – 609 с. 4. Діордієв В. Т. Засоби автоматизації електротехнічних комплексів: навчальний посібник / В. Т. Діордієв, А. О. Кашкарьов, С. В. Дубініна, Г. В. Новіков. – Мелітополь: ФОП Однорог Т.В., 2020. – 220 с. 5. European Commission. Report. Intelligent transport systems, 2018. Retrieved from https://ec.europa.eu/transport/themes/its_en 6. Katerna Olga. Research of market development of intelligent transport systems in the world. Economics of Development, 17(3), 2018. – 17–29. doi: 10.21511/ed.17(3).2018.02. 7. Picone M. Advanced technologies for intelligent transportation systems / M. Picone, M. Amoretti, F. Zanichelli, G. Ferrari, S. Busanelli // Springer, 2015. – 238 p. 8. Intelligent Transportation Systems Joint Program Office. United States Department of Transportation. Retrieved 17 February 2021, from https://www.pcb.its.dot.gov/eprimer/module8.aspx#intro