Smart systems in vehicles

Description: Smart systems, the concept of a smart system. Types of smart systems in cars, their classification. The structure of the smart system, the principles of operation. Smart-vehicle safety systems, methods and technical means of obtaining information. Algorithms for information processing, decision-making methods and procedures for their execution. Methods of controlling the movement of the car in various modes. The function of course stability stabilization. Blind spot monitoring function. Collision prevention function. The function of monitoring the driver's work.

Amount of credits: 5

Пререквизиты:

• Modern designs of aggregate and units of transport equipment

Course Workload:

Component: Component by selection

Cycle: Profiling disciplines

Goal

• Explore the smart systems of modern cars, their functions, operating methods, hardware and software, and potential capabilities

Objective

• Study smart car systems and master the skills to manage them

Learning outcome: knowledge and understanding

• know the types and understand the functionality of smart systems in vehicles

Learning outcome: applying knowledge and understanding

• use the functionality of smart systems in vehicles

Learning outcome: formation of judgments

• form a judgment about the potential capabilities of smart systems in vehicles

Learning outcome: communicative abilities

• communicate with smart systems in vehicles

Learning outcome: learning skills or learning abilities

• practical skills in the use of smart systems in electric and hybrid vehicles and the ability for in-depth learning

Teaching methods

Dual education - the connection between theoretical training and practical skills in production

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.

The evaluating policy of learning outcomes by work type

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:

 

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:

Topics of lectures

• Smart systems, the concept of a smart system, Types of smart systems in cars, their classification and characteristics
• Smart car cyber security systems
• Car security systems
• Smart Key keyless entry system
• Car remote control system StarLine Telematics using GSM+GPRS, GPS+GLONASS technologies
• All-round viewing system Bird View
• Smart systems for ensuring active vehicle safety
• Function: Traction Control (TRC) automatic slip control system
• Cruise control function Cruise Control
• ESC stability control function
• Blind spot monitoring (BCW) function
• Radar Technology
• Lidar Technology
• Forward Collision Avoidance Assist (FCA) with automatic braking
• Non-Sleep driver monitoring system

Key reading

• 1. Autonomous Vehicles: Intelligent Transport Systems and Smart Technologies (Engineering Tools, Techniques and Tables) by Nicu Bizon, Lucian Dascalescu, Naser Mahdavi Tabatabaei. Nova Science Pub Inc., 2014. 544 Pages. ISBN: 978-1-63321-324-1 2. Yan Li, Hualiang Shi. Advanced Driver Assistance Systems and Autonomous Vehicles. From Fundamentals to Applications. Springer Nature Singapore, January 2022. 629 Pages. ISBN 978-9-81-195052-0, ISBN 978-9-81-195053-7 (eBook). DOI 10.1007/978-981-19-5053-7 3. Vehicular Communications for Smart Cars: Protocols, Applications and Security Concerns. By Niaz Chowdhury, Lewis Mackenzie. 1st Edition. Boca Raton, CRC Press, 2021. 216 Pages. 3. Ветлинский, В. Н Бортовые автономные системы управления автомобилем : научное издание / В.Н Ветлинский, А.А. Юрчевский, К.Н. Комлев. - М. : Транспорт, 1984. - 189 с. - Библиогр.: с. 186-187.

Further reading

• 4. Khare, M.D., Raghavendra, R. (2024). Exploring Sensor Technologies and Automation Levels in Autonomous Vehicles. In: Verma, O.P., Wang, L., Kumar, R., Yadav, A. (eds) Machine Intelligence for Research and Innovations. MAiTRI 2023. Lecture Notes in Networks and Systems, vol 831. Springer, Singapore. https://doi.org/10.1007/978-981-99-8135-9_26 5. Горев, А. Э. Информационные технологии на транспорте : учебник для вузов / А. Э. Горев. — 3-е изд., перераб. и доп. — Москва : Издательство Юрайт, 2024. — 314 с. — (Высшее образование). — ISBN 978-5-534-17349-9. 6. Amit Kumar Tyagi, Niladhuri Sreenath. Intelligent Transportation Systems: Theory and Practice. Springer Singapore. 2022. 391 Pages. ISBN 978-981-19-7621-6. ISBN 978-981-19-7622-3 (eBook). DOI: https://doi.org/10.1007/978-981-19-7622-3