Subject Datasheet

Download PDF
Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Intelligent transport systems
2. Subject name in Hungarian Intelligens közlekedési rendszerek
3. Code BMEKOKUM205 4. Evaluation type exam grade 5. Credits 5
6. Weekly contact hours 2 (10) Lecture 0 (0) Practice 2 (11) Lab
7. Curriculum
Transportation Engineering MSc (K)
8. Role
Mandatory (mc) at Transportation Engineering MSc (K)
9. Working hours for fulfilling the requirements of the subject 150
Contact hours 56 Preparation for seminars 18 Homework 12
Reading written materials 46 Midterm preparation 8 Exam preparation 10
10. Department Department of Transport Technology and Economics
11. Responsible lecturer Dr. Tóth János
12. Lecturers Dr. Tóth János, Dr. Esztergár-Kiss Domokos, Soltész Tamás
13. Prerequisites  
14. Description of lectures
Keywords of intelligent transport systems. ITS directive of EU. Classification of ITS systems based on transport modes. Tasks of a mobility management system, the structure of the integrated transport database. EU standards. The NESZIP an NEJP systems. Features of Demand Responsive Transport, area of use, classification of systems. Rout planning of DRT, economic features. Hungarian and international best practices.
15. Description of practices
16. Description of labortory practices
Introduction to GIS, QGIS practice, Location based services, Route planning methods, Multimodal journey planners, Mobility as a Service, Transportation databases and data collection systems, Homework presentations.
17. Learning outcomes
A. Knowledge
  • Familiar with types and features of ITS, the relevant terms and standards. 
  • Knows the attributes and advantages of multimodal systems. 
  • Knows the conditions of development demand responsive transport. 
B. Skills
  • Ability to apply of GIS in planning of ITS systems. 
  • Able to examine and analyse ITS systems.
C. Attitudes
  • Strive to acquire the highest level of system approach. 
D. Autonomy and Responsibility
  • Responsible applies of acquired knowledge in individual or in team work.
18. Requirements, way to determine a grade (obtain a signature)
Signature: 1 midterm test from the theoretical and 1 midterm test from the practical part, 2 homeworks (QGIS and LBS), 1 presentation from the QGIS homework. Final grade equals to the result of written exam.
19. Opportunity for repeat/retake and delayed completion
Both midterm test correction possibility and possibility of delayed deadline for home work.
20. Learning materials
Presentation slides
Effective date 10 October 2019 This Subject Datasheet is valid for 2023/2024 semester II