Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Planning of Transport Databases (PhD)
2. Subject name in Hungarian Közlekedési adatbázisok tervezése (PhD)
3. Code BMEKOKUD004 4. Evaluation type exam grade 5. Credits 2
6. Weekly contact hours 0 (0) Lecture 2 (0) Practice 0 (0) Lab
7. Curriculum
PhD Programme
 8. Role
Specific course
9. Working hours for fulfilling the requirements of the subject 60
Contact hours 28 Preparation for seminars 0 Homework 20
Reading written materials 8 Midterm preparation 0 Exam preparation 4
10. Department Department of Transport Technology and Economics
11. Responsible lecturer Dr. Juhász János
12. Lecturers Dr. Juhász János
13. Prerequisites  
14. Description of lectures
The aim of the course is to learn how to capture, store, collect and analyse traffic-related data, to get to know, choose and apply the most common methods:
  • Methods of collecting and storing traffic data. Sources of error.
  • Questionnaire data collection forms, ways of storing and processing data, transport applications.
  • Description of data model types, presentation of their usage possibilities.
  • Structure, characteristics and comparison of OLAP, MOLAP, ROLAP, OLTP systems.
  • Big Data's theoretical background, overview of transport examples.
  • Characteristics and methods of analysis of GIS databases. Traffic location identification systems.
  • The system of registration, construction, information content of road accidents involved injured persons.
15. Description of practices
Exercising theoretical knowledge with examples and case studies.
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge
  • Knows the methods of collecting traffic data.
  • Knows the different data model types.
  • Knows the structure, characteristics and peculiarities of OLAP, MOLAP, ROLAP, and OLTP systems.
  • Knows the Big Data's theoretical background.
  • Knows the structure and main characteristics of GIS systems.
  • Knows the structure of the road accident database.
B. Skills
  • Able to design and execute data collection.
  • Able to design and build a data storage structure.
  • Able to select the most suitable data model type for the purpose.
  • Able to design and prepare a geospatial database, to map data, to create spatial queries.
  • Able to retrieve information from a personal road accident database.
C. Attitudes
  • The student attends the lectures, prepare independent study on time.
  • During the lectures, he is actively involved in processing the current topic.
  • During the independent study the student strives to develop new technical solutions.
  • Interested in international and domestic developments in the field.
  • Open to learn new knowledge and learn.
D. Autonomy and Responsibility
  • Apply responsibility the knowledge acquired in the course of the course.
  • Can independently develop new technical solutions.
  • Accepts the framework of collaboration, can perform its work independently or as part of a team, depending on the task.
18. Requirements, way to determine a grade (obtain a signature)
Exam. Evaluation of individual study.
19. Opportunity for repeat/retake and delayed completion
Retake exam. Study repair
20. Learning materials
Supported by downloadable documents from the Department website
Effective date 27 November 2019 This Subject Datasheet is valid for 2023/2024 semester II