Modelling in Transport Systems

Major: Transport Technology (by type)
Code of subject: 8.275.00.O.009
Credits: 3.00
Department: Transport Technologies
Lecturer: Doctor of Technical Sciences, Professor Yevhen Fornalchyk Candidate of Technical Sciences, Associate Professor Yuriy Royko
Semester: 3 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. 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); 3. 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 (KN8); 4. 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 (KN12). Skills: 1. To use acquired knowledge and understanding for identification, formulation and solving the problems of development of transport complex with the use of modern scientific methods (SC1); 2. To use the knowledge for solving the tasks of analysis and synthesis in transport systems (SC2); 3. To work effectively both individually and in a creative group (SC7); 4. To carry out current scientific research and use scientific skills in the field of transport (SC10); 5. To evaluate the obtained results of research critically and reasonably make and defend appropriate decisions (SC11). Communication: 1. Ability to apply different methods, particularly current informational technologies, for effective communication on professional and social levels (COM2). Autonomy and responsibility: 1. Ability to realize the need for learning during the whole life for deepening the acquired and acquisition of new knowledge (AaR2); 2. 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: Previous courses: 1. System analysis in transport 2. Research seminar in the field of transport Next courses: 1. Intelligent transport systems 2. Systems of traffic organization and management
Summary of the subject: While studying this academic discipline, the postgraduate student acquires fundamental theoretical knowledge about generating demand for movement, interaction of transport modes, main factors influencing the formation of transport systems, and also acquires practical skills in developing a clear, qualitatively structured transport model and modeling process; improves methods for designing sustainable urban mobility systems taking into account the combination of different types of movements.
Assessment methods and criteria: Diagnostics of knowledge of applicants is carried out using the following methods: 1. Oral defense of reports for practical work by conducting a survey on the topic of the work. 2. Conducting a written test based on the results of studying the discipline. 3. Conducting an oral component based on the results of writing the test, the questions of which are based on the content of practical tasks.
Recommended books: Рекомендована література Базова 1. Profillidis, V. A., & Botzoris, G. N. (2018). Modeling of transport demand: Analyzing, calculating, and forecasting transport demand. Elsevier. 2. Cascetta, E. (2009). Transportation systems analysis: models and applications (Vol. 29). Springer Science & Business Media. 3. Cascetta, E. (2013). Transportation systems engineering: theory and methods (Vol. 49). Springer Science & Business Media. 4. Білоус, А. Б., & Демчук, І. А. (2014). Аналіз методів та моделей розрахунку обсягу пасажирських кореспонденцій. Східно-Європейський журнал передових технологій, 3(3 (69)), 53-57. 5. Zhuk, M., Pivtorak, H., Kovalyshyn, V., & Gits, I. (2020). Development of a multinomial logitmodel to choose a transportation mode for intercity travel. Східно-Європейський журнал передових технологій, 3(3-105), 69-77. Допоміжна 1. Форнальчик Є.Ю. Моделювання транспортних потоків: навчальний посібник. / Є.Ю. Форнальчик, В.В. Гілевич, І.А. Могила. – Львів: Видавництво Львівської політехніки, 2020. – 216 с. 2. Форнальчик, Е. Ю., Білоус, А. Б., & Демчук, І. А. (2014). Застосування нечіткої логіки та генетичних алгоритмів у моделях пасажирських пересувань. Автомобільний транспорт, (35), 122-127. 3. Системологія на транспорті. Технологія наукових досліджень і технічної творчості [Гаврилов Е. В., Дмитриченко М. Ф., Доля В. К. та ін.]; за ред. М. Ф. Дмитриченка. – К.: Знання України, 2007. – 318 с. – (5 кн./ Гаврилов Е. В., Дмитриченко М. Ф., Доля В. К. та ін.; кн. 2). 4. Доля В.К. Прогнозування параметрів транспортних систем. / В.К. Доля, Я.В. Санько, Т.О. Самісько. – Х.: ХНАМГ, 2012. – 312 с. 5. Лобашов О. О. Моделювання впливу мережі паркування на транспортні потоки в містах / О. О. Лобашов. – Х.: ХНАМГ, 2010. – 170 с. 6. Поліщук В. П. Теорія транспортного потоку : методи та моделі організації дорожнього руху / В. П. Поліщук, О. П. Дзюба. – К.: Знання України, 2008. – 175 с. 7. Організація та регулювання дорожнього руху: підручник / За заг. ред. В. П. Поліщука; О. О. Бакуліч, О. П. Дзюба, В. І. Єресов та ін. – К.: Знання України, 2012. – 467 с.