Fuzzy Systems in Transportation
Syllabus
- History of transportation,
- Transportation sector and transportation modes,
- Characteristics of transport modes and their systems.
- Transportation systems issues: planning, control, congestion, safety, and environment protection.
- Basics of traffic flow theory.
- Basics of capacity and level of service.
- Elements of traffic control.
- Public transportation systems.
- Transportation demand analysis techniques.
- Freight transportation and logistics problems.
- Basics of Computational intelligence.
- Computational intelligence techniques applications in transportation.
- The concept of fuzzy sets.
- The fuzzy sets basics.
- Basic elements of fuzzy systems.
- Fuzzy systems in transportation.
- Artificial neural networks.
- Artificial neural networks applications in transportation.
- Evolutionary computation.
- Swarm intelligence.
More...
Goals and competencies
Introducing the Soft computing techniques to students.
Basic literature
- Teodorović, D., Vukadinović, K., „Traffic Control and Transport Planning: A Fuzzy Sets and Neural Networks Approach“, Kluwer Academic Publishers, Boston, (1998).
- Teodorović, D., Janić, M., „Transportation Engineering“, Elsevier, New York, (2016).