342-0967/02 – Transportation Theory (TD)
| Gurantor department | Institute of Transport | Credits | 10 |
| Subject guarantor | doc. Ing. Dušan Teichmann, Ph.D. | Subject version guarantor | doc. Ing. Dušan Teichmann, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FS | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
Course deals with a methods for complex optimization in transportation systems. Course develops a knowlidge of students in optimization conventional methods (graph theory, mathematical programming, queuing theory) heuristics and metaheuristics approaches and evolutionary optimization approaches and their applications for management of transportation systems.
Teaching methods
Lectures
Individual consultations
Other activities
Summary
Course deal with applications of optimizing methods in transportation systems.
In the course the emphasis will be on perfect mastery of the methodology of mathematical modeling of the solved processes taking into account all the decisive factors and the specifics influenced by the optimized process, using the knowledge gained from the subjects focused on technology and management in the given mode of transportation. In the case of transportation processes, the modeling of which can be used for more optimization approaches, the student will know their advantages and disadvantages and make the selection of the most suitable one.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Oral examination.
E-learning
Other requirements
Semestral project on the defined topic and its presentation before examiner.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Traditional four steps transportation modeling.
2. Braess´s paradox.
3. Advanced chapters of facility location analysis.
4. Facility Location Problem and its aplications in transportation and logistics.
5. Transporation networks vulnerability.
6. Subnet generation problem.
7. Tariff zones design problem.
8. Blocking theory in transportation systems.
9. Transportation elements accumulation proces.
10. Travelling Salesman Problem and Vehicle Routing Problem.
11. Rural Postman Problem, Windy Postman Problem and Municipal Solid Waste System.
12. Operational Planning and Management in Transportation Systems.
13. Integrated approaches to optimization problems in public transporation (design network-timetable-vehicles and crew scheduling).
14. Delay Management Models.
15. Minimization of bus stop number in terminals, train platforming problem.
16. Periodical timetable and their optimization.
17. Advanced models for signal plans design (dynamic signal plans, network coordination).
18. Car Sharing a Vehicle Platooning Models.
19. Fleet Management.
20. Container Loading Problem.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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