Intelligent transport management systems
Description: The discipline includes the study of information, communication systems and automation that ensure the efficiency of road traffic and the transportation process. While studying the discipline, students develop skills and abilities in the field of improving road safety, using innovative developments in modeling transport systems and regulating traffic flows through the introduction of smart technologies.
Amount of credits: 8
Пререквизиты:
- Fundamentals of artificial intelligence
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 30 |
| Practical works | 45 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 45 |
| SAW (Student autonomous work) | 120 |
| Form of final control | Exam |
| Final assessment method |
Component: University component
Cycle: Base disciplines
Goal
- The purpose of teaching the discipline is the formation of basic concepts and directions in the field of organization and development of intelligent transport systems (ITS), in familiarization with existing intelligent systems that are used for the organization and management of the transport process.
Objective
- - study of the main elements and composition of ITS; - the study of ITS systems and structures, their interaction with each other; - study of ITS application methods; - study of optimization criteria when using intelligent transport systems; - the study of the fields of application of intelligent transport systems.
Learning outcome: knowledge and understanding
- the modern level of technical and technological support of the transport complex of the Republic of Kazakhstan; the current state of legal and regulatory and technical regulation of information support for transport activities; the main directions and necessary measures to improve the existing systems of informatization and automation of the transport process.
Learning outcome: applying knowledge and understanding
- ensuring safe and uninterrupted movement of transport in specified sizes with set speeds; managing the transportation process based on the use of automated systems in order to ensure the fulfillment of established volumes of freight and passenger transportation with mandatory observance of traffic safety, safety of transported goods, highly efficient use of technical means
Learning outcome: formation of judgments
- on the principles of building national ITS; GLONASS - as the foundation of a national intelligent transport system.
Learning outcome: communicative abilities
- readiness for independent, individual work, decision-making within the framework of their professional competence; willingness to use information technology.
Learning outcome: learning skills or learning abilities
- to gain theoretical and practical knowledge in the field of ITS, to know and be able to apply promising methods of research and solving professional problems based on knowledge of global trends in ITS development.
Teaching methods
During the training sessions, the following educational technologies are provided for: - Classes are held in active and creative forms that contribute to the involvement of students in the search and management of knowledge, gaining experience in solving problems independently, including: - technologies of educational and research activities; - communication technologies (discussion, educational debates); - information and communication technologies.
Key reading
- 1. Власов В.М., Николаев А.В., Постолит А.В., Приходько В.М. Информационные технологии на автомобильном транспорте. – М.: Наука, 2006. – 283 с. 2. Интеллектуальные транспортные системы в автомобильно-дорожном комплексе/ В.М.Приходько и др.; под общ. ред. В.М.Приходько; МАДИ. – М: Мэйлер, 2011. – 487 с. 3. Жанказиев, С.В. Интеллектуальные транспортные системы: учеб. пособие / С.В. Жанказиев. – М.: МАДИ, 2016. – 120 с. 4. Интеллектуальные транспортные системы : учебное пособие / С. А. Андронов, В. А. Фетисов. — Саратов : Ай Пи Ар Медиа, 2019. - 260 c. - Текст : электронный //Электронно-библиотечная система IPR BOOKS : [сайт]. - URL:http://www.iprbookshop.ru/86674.html. - Режим доступа: для авторизир. пользователей
Further reading
- 1. Геоинформационные системы в дорожном хозяйстве: Справочная энциклопедия дорожника (СЭД). Т. 6./ А.В.Скворцов, П.И.Поспелов, В.Н.Бойков, С.П. Крысин. – М.: ФГУП «Информавтодор», 2006. – 372 с. 2. Пегин, П. А. Современные тенденции развития бортовых интеллектуальных транспортных систем: моногр. / П. А. Пегин, Д. В. Капский, В. В. Касьяник, В. Н. Шуть; СПбГАСУ. – СПб., 2019. – 198 с. 3. Шуть В.Н., Персиа Лука Интеллектуальные робототехнические транспортные системы / В.Н. Шуть, Л. Персиа. − Брест: Издательство УО «БрГТУ», 2017. − 196 с. 4. Интеллектуальные транснорные системы : учебное пособие /сост.: Н. С. Сембаев, Н. Д. Ставрова. - Павлодар : Кереку, 2016.-99 с 5. Евстигнеев Игорь Анатольевич Интеллектуальные транспортные системы на автомобильных дорогах федерального значения России. – М. Издательство Перо, 2015. – 132 с. 6. Интеллектуальные транспортные системы железнодорожного транспорта (основы инновационных технологий) [Текст]: пособие /В. В. Скалозуб, В. П. Соловьев, И. В. Жуковицкий, К. В. Гончаров. –Д. : Изд-во Днепропетр. нац. ун-та ж.-д. трансп. им. акад. В. Лазаряна, 2013. – 207 с.
