Artificial Intelligence and Expert Systems in Transport
- Department of Applied Informatics in Transportation
Introduction to artificial intelligence, work in unified state space and with related techniques.
Basic knowledge of mathematical tools and probability theory
-Basic level Knowledge of transportation engineering
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
To introduce students to methods of artificial intelligence with respect to transportation applications. Praktical training in related techniques.
- Study materials:
Jang , J.-S. R., C.-T. Sun, and E. Mizutani. Neuro-Fuzzy and Soft Computing. Prentice Hall:1997
-Teodorovic, D. & Vukadinovic, K., Traffic Control and Transport Planning: A Fuzzy Sets and Neural Networks Approach, Kluwer Academic Publishers, Boston/ Dordrecht/London,
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: