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 | Exam |
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.
Assessment of the student's knowledge
Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.
| Period | Type of task | Total |
|---|---|---|
| 1 rating | Analysis of the structure of intelligent transport systems using the example of a real project. | 0-100 |
| Working with databases of traffic flows. | ||
| Use of transport monitoring systems. | ||
| Calculation of traffic flow characteristics | ||
| Working with GIS systems in ITS. | ||
| Simulation of the traffic situation. | ||
| Development of adaptive traffic light control schemes. | ||
| Analysis of the effectiveness of ITS implementation. | ||
| 2 rating | Designing ITS elements. | 0-100 |
| Interface for the interaction of ITS components. | ||
| Using software tools (VISSIM, AIMSUN, etc.). | ||
| The use of ITS in logistics and transportation management. | ||
| Video surveillance and automatic number recognition (ARN) systems. | ||
| Accident scenarios and ITS actions. | ||
| Preparation of the final project (ITS mini-project). | ||
| Total control | Exam | 0-100 |
The evaluating policy of learning outcomes by work type
| Type of task | 90-100 | 70-89 | 50-69 | 0-49 |
|---|---|---|---|---|
| Excellent | Good | Satisfactory | Unsatisfactory | |
| Criteria for assessing students' knowledge | from 90 to 100 points: demonstration of deep and complete knowledge and understanding of the entire volume of the studied material; full understanding of the essence of the concepts, phenomena and patterns under consideration, theories, relationships; the ability to make a complete and correct answer based on the studied material; highlight the main points, independently support the answer with specific examples, facts; independently make a reasoned analysis, generalize conclusions; the ability to establish interdisciplinary (based on previously acquired knowledge) and intrasubject connections. | from 70 to 89 points: knowledge of all the studied program material; a complete and correct answer based on the studied theories; minor errors and omissions in the reproduction of the studied material, definitions of concepts, inaccuracies in the use of scientific terms or in conclusions and generalizations; the material is presented in a certain logical sequence, but one blunt mistake is allowed or not There are more than two shortcomings, and the student can correct them on his own if required or with a little help from the teacher; he has mostly mastered the educational material.; confirms the answer with specific examples. | from 50-69 points: the answer contains significant deviations from the topic; the analysis of the problem provided by the question is fragmentary and incomplete; facts are not always separated from opinions, but the student understands the difference between them. | from 90 to 100 points: demonstration of deep and complete knowledge and understanding of the entire volume of the studied material; full understanding of the essence of the concepts, phenomena and patterns under consideration, theories, relationships; the ability to make a complete and correct answer based on the studied material; highlight the main points, independently support the answer with specific examples, facts; independently make a reasoned analysis, generalize conclusions; the ability to establish interdisciplinary (based on previously acquired knowledge) and intrasubject connections. |
Evaluation form
The student's final grade in the course is calculated on a 100 point grading scale, it includes:
- 40% of the examination result;
- 60% of current control result.
The final grade is calculated by the formula:
| FG = 0,6 | MT1+MT2 | +0,4E |
| 2 |
Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;
E is a digital equivalent of the exam grade.
Final alphabetical grade and its equivalent in points:
The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:
| Alphabetical grade | Numerical value | Points (%) | Traditional grade |
|---|---|---|---|
| A | 4.0 | 95-100 | Excellent |
| A- | 3.67 | 90-94 | |
| B+ | 3.33 | 85-89 | Good |
| B | 3.0 | 80-84 | |
| B- | 2.67 | 75-79 | |
| C+ | 2.33 | 70-74 | |
| C | 2.0 | 65-69 | Satisfactory |
| C- | 1.67 | 60-64 | |
| D+ | 1.33 | 55-59 | |
| D | 1.0 | 50-54 | |
| FX | 0.5 | 25-49 | Unsatisfactory |
| F | 0 | 0-24 |
Topics of lectures
- An introduction to intelligent transportation systems
- Classification and architecture of Intelligent transport systems
- Traffic flow monitoring systems
- Navigation and geoinformation technologies in transport
- Intelligent traffic management systems (traffic lights and adaptive systems)
- Automated transportation management systems
- Transport telematics systems and their role in road transport
- Intelligent traffic safety systems
- Decision support systems in transport management
- The use of big data and artificial intelligence in the transportation industry
- Traffic flow modeling and traffic optimization
- Toll systems, electronic tickets and intelligent tariff regulation
- Automation of fleet management
- Prospects for the development of intelligent transport systems
- Economic and social efficiency of the implementation of intelligent transport systems
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.
